Rooms and timetables
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For more information, click on the timetable event or continue scrolling.July 7
July 11
July 12
July 13
July 14
July 15
July 7 - Online
July 7, 8:30-10:00 - Bias, Conversational IR, NLP and Semantics
Lixin Zou
- 8:30 - (FP) Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders
Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao and Binqiang Zhao - 8:45 - (FP) ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement
Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu and Weiran Xu - 9:00 - (FP) Learning to Infer User Implicit Preference in Conversational Recommendation
Chenhao Hu, Shuhua Huang, Yansen Zhang and Yubao Liu - 9:15 - (FP) What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation
Li Lin, Yixin Cao, Lifu Huang, Shu'Ang Li, Xuming Hu, Lijie Wen and Jianmin Wang - 9:30 - (FP) A Dual-Expert Framework for Event Argument Extraction
Rui Li, Wenlin Zhao, Cheng Yang and Sen Su - 9:45 - (FP) CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection
Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu and Hongbo Xu
July 7, 8:30-10:00 - IR Models, Evaluation and User Studies
Douglas W. Oard
- 8:30 - (FP) Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities
Vishwa Vinay, Manoj Kilaru and David Arbour - 8:45 - (FP) Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals
Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuancheng Li, Jiaji Li, Xuesong Chen, Min Zhang and Shaoping Ma - 9:00 - (FP) RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows
Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu and Weinan Zhang - 9:15 - (FP) Few-Shot Stance Detection via Target-Aware Prompt Distillation
Yan Jiang, Jinhua Gao, Huawei Shen and Xueqi Cheng - 9:45 - (TOIS) What and How long: Prediction of Mobile App Engagement
Yuan Tian, Ke Zhou and Dan Pelleg
July 7, 8:30-10:00 - Search and Recommender Systems
Haggai Roitman
- 8:30 - (FP) A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval
Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen and Shijin Wang - 8:45 - (FP) Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect
Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang and Enhong Chen - 9:00 - (FP) Co-clustering Interactions via Attentive Hypergraph Neural Network
Tianchi Yang, Cheng Yang, Luhao Zhang, Chuan Shi, Maodi Hu, Huaijun Liu, Tao Li and Dong Wang - 9:15 - (FP) Adaptable Text Matching via Meta-Weight Regulator
Bo Zhang, Chen Zhang, Fang Ma and Dawei Song - 9:30 - (FP) A Review-aware Graph Contrastive Learning Framework for Recommendation
Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang and Yong Li - 9:45 - (FP) Axiomatically Regularized Pre-training for Ad hoc Search
Jia Chen, Yiqun Liu, Yan Fang, Jiaxin Mao, Hui Fang, Shenghao Yang, Xiaohui Xie, Min Zhang and Shaoping Ma
July 7, 8:30-10:00 - Sentiment Analysis and Reproducibility
Jialie (Jerry) Shen
- 8:30 - (FP) Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities
Jiandian Zeng, Tianyi Liu and Jiantao Zhou - 8:45 - (FP) Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation
Hao Fei, Chenliang Li, Donghong Ji and Fei Li - 9:00 - (FP) Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
Kai Zhang, Qi Liu, Zhenya Huang, Mengdi Zhang, Kun Zhang, Cheng Mingyue, Wei Wu and Enhong Chen - 9:15 - (FP) Aspect Feature Distillation and Enhancement Network for Aspect-based Sentiment Analysis
Rui Liu, Jiahao Cao, Nannan Sun and Lei Jiang - 9:30 - (FP) IAOTP: An Interactive End-to-End Solution for Aspect-Opinion Term Pairs Extraction
Ambreen Nazir and Rao Yuan - 9:45 - (PERSPECTIVES PAPER) Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang and Chuan Shi
July 7, 10:00-11:00 - Poster & demo session I
- (SP) Progressive Self-Attention Network with Unsymmetrical Positional Encoding for Sequential Recommendation
Yuehua Zhu, Bo Huang, Shaohua Jiang, Muli Yang, Yanhua Yang and Wenliang Zhong - (DEMO) Arm: Efficient Learning of Neural Retrieval Models with Desired Accuracy by Automatic Knowledge Amalgamation
Linzhu Yu, Dawei Jiang, Ke Chen and Lidan Shou - (DEMO) NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Zezhong Xu, Yajing Xu, Ningyu Zhang, Zonggang Yuan, Feiyu Xiong and Huajun Chen - (SP) Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder
Xu Zhao, Yi Ren, Ying Du, Shenzheng Zhang and Nian Wang - (DEMO) PKG: A Personal Knowledge Graph for Recommendation
Yu Yang, Jiangxu Lin, Xiaolian Zhang and Meng Wang - (DEMO) Table Enrichment System for Machine Learning
Yuyang Dong and Masafumi Oyamada - (DEMO) ZeroMatcher: A Cost-Off Entity Matching System
Congcong Ge, Xiaocan Zeng, Lu Chen and Yunjun Gao - (DEMO) A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods
Andrew Trotman, Joel Mackenzie, Pradeesh Parameswaran and Jimmy Lin - (RP) ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval
Tengteng Lin, Qiaosheng Chen, Gong Cheng, Ahmet Soylu, Basil Ell, Ruoqi Zhao, Qing Shi, Xiaxia Wang, Yu Gu and Evgeny Kharlamov - (RP) Biographical Semi-Supervised Relation Extraction Dataset
Alistair Plum, Tharindu Ranasinghe, Spencer Jones, Constantin Orasan and Ruslan Mitkov - (RP) Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims
Ivan Srba, Branislav Pecher, Matus Tomlein, Robert Moro, Elena Stefancova, Jakub Simko and Maria Bielikova - (RP) OVQA: A Clinically Generated Visual Question Answering Dataset
Yefan Huang, Xiaoli Wang, Feiyan Liu and Guofeng Huang - (RP) ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues
Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke and Zhumin Chen - (RP) Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu and Yew Soon Ong - (SP) Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved Negatives
Wei Wang, Liangzhu Ge, Jingqiao Zhang and Cheng Yang - (SP) Adversarial Graph Perturbations for Recommendations at Scale
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang and Hao Yang - (SP) Dual Contrastive Network for Sequential Recommendation
Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin and Yong Li - (SP) Constructing Better Evaluation Metrics by Incorporating the Anchoring Effect into the User Model
Nuo Chen, Fan Zhang and Tetsuya Sakai - (SP) Conversational Recommendation via Hierarchical Information Modeling
Quan Tu, Shen Gao, Yanran Li, Jianwei Cui, Bin Wang and Rui Yan - (SP) Cross-Probe BERT for Fast Cross-Modal Search
Tan Yu, Hongliang Fei and Ping Li - (SP) CTnoCVR: A Novelty Auxiliary Task Making the Lower-CTR-Higher-CVR Upper
Dandan Zhang, Haotian Wu, Guanqi Zeng, Yao Yang, Weijiang Qiu, Yujie Chen and Haoyuan Hu - (SP) Curriculum Learning for Dense Retrieval Distillation
Hansi Zeng, Hamed Zamani and Vishwa Vinay - (SP) Deep Multi-Representational Item Network for CTR Prediction
Jihai Zhang, Fangquan Lin, Cheng Yang and Wei Wang - (SP) DH-HGCN: Dual Homogeneity Hypergraph Convolutional Network for Multiple Social Recommendations
Jiadi Han, Qian Tao, Yufei Tang and Yuhan Xia - (SP) Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction
Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang and Runlong Yu - (SP) ELECRec: Training Sequential Recommenders as Discriminators
Yongjun Chen, Jia Li and Caiming Xiong - (SP) Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval
Revanth Gangi Reddy, Md Arafat Sultan, Martin Franz, Avirup Sil and Heng Ji - (SP) Exploring Heterogeneous Data Lake based on Unified Canonical Graphs
Qin Yuan, Ye Yuan, Zhenyu Wen, He Wang, Chen Chen and Guoren Wang - (SP) Generative Adversarial Framework for Cold-Start Item Recommendation
Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He and Zhoujun Li - (SP) BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
Bisheng Li, Min Zhou, Zengfeng Huang, Shengzhong Zhang, Menglin Yang and Defu Lian - (SP) UserBERT: Pre-training User Model with Contrastive Self-supervision
Chuhan Wu, Fangzhao Wu, Tao Qi and Yongfeng Huang - (SP) Is News Recommendation a Sequential Recommendation Task?
Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li and Yongfeng Huang - (SP) Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si and Huajun Chen - (SP) On the Role of Relevance in Natural Language Processing Tasks
Artsiom Sauchuk, James Thorne, Alon Halevy, Nicola Tonellotto and Fabrizio Silvestri - (SP) Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising
Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang and Bo Zheng - (SP) PERD: Personalized Emoji Recommendation with Dynamic User Preference
Xuanzhi Zheng, Guoshuai Zhao, Li Zhu and Xueming Qian - (SP) P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning
Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu and Ge Yu - (SP) Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao and Chenxing Wang - (SP) Matching Search Result Diversity with User Diversity Acceptance in Web Search Sessions
Jiqun Liu and Fangyuan Han - (SP) Neutralizing Popularity Bias in Recommendation Models
Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye and Yewang Chen - (SP) Neural Statistics for Click-Through Rate Prediction
Yanhua Huang, Hangyu Wang, Yiyun Miao, Ruiwen Xu, Lei Zhang and Weinan Zhang - (SP) Multi-label Masked Language Modeling on Zero-shot Code-switched Sentiment Analysis
Zhi Li, Xing Gao, Ji Zhang and Yin Zhang - (SP) MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation
Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang and Tong Xu - (SP) Joint Optimization of Ad Ranking and Creative Selection
Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu and Bo Zheng - (SP) PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing
Ruixin Li, Yu Yin, Le Dai, Shuanghong Shen, Xin Lin, Yu Su and Enhong Chen - (SP) News Recommendation with Candidate-aware User Modeling
Tao Qi, Fangzhao Wu, Chuhan Wu and Yongfeng Huang - (SP) Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding
Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang and Bo Zheng - (SP) Relation-Guided Few-Shot Relational Triple Extraction
Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu and Bin Wang - (SP) Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh and Hsiang-Fu Yu - (SP) ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Rui Zhang, Xiuqiang He and Ruiming Tang - (SP) RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation
Qihang Zhao - (SP) Selective Fairness in Recommendation via Prompts
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin and Qing He - (SP) Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction
Shuang Tang, Fangyuan Luo, Jun Wu and Zhuo Wang - (SP) Task-Oriented Dialogue System as Natural Language Generation
Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen and Weihua Luo - (SP) Towards Event-level Causal Relation Identification
Chuang Fan, Daoxing Liu, Libo Qin, Yue Zhang and Ruifeng Xu - (SP) Towards Motivational and Empathetic Response Generation in Online Mental Health Support
Tulika Saha, Vaibhav Gakhreja, Anindya Sundar Das, Souhitya Chakraborty and Sriparna Saha - (SP) Item Similarity Mining for Multi-Market Recommendation
Jiangxia Cao, Xin Cong, Tingwen Liu and Bin Wang - (SP) Understanding Long Programming Languages with Structure-Aware Sparse Attention
Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao and Aoying Zhou - (SP) Value Penalized Q-Learning for Recommender Systems
Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan and Peilin Zhao - (SP) What Makes a Good Podcast Summary?
Rezvaneh Rezapour, Sravana Reddy, Rosie Jones and Ian Soboroff - (SP) Why do Semantically Unrelated Categories Appear in the Same Session? A Demand-aware Method
Liqi Yang, Linhao Luo, Xiaofeng Zhang, Fengxin Li, Xinni Zhang, Zelin Jiang and Shuai Tang - (SP) GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection
Xu Chen, Qiu Qiu, Changshan Li and Kunqing Xie - (SP) Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization
Lei Zhang, Min Yang, Chengming Li and Ruifeng Xu
July 7, 11:00-14:30 - Tutorials (Half Day)
- (TUTORIAL) Recent Advances in Retrieval-Augmented Text Generation
Deng Cai, Yan Wang, Lemao Liu and Shuming Shi - (TUTORIAL) Self-Supervised Learning for Recommender System
Chao Huang, Xiang Wang, Xiangnan He and Dawei Yin - (TUTORIAL) Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang and Charu Aggarwal - (TUTORIAL) Deep Knowledge Graph Representation Learning for Completion, Alignment, and Question Answering
Soumen Chakrabarti - (TUTORIAL) Beyond Opinion Mining: Summarizing Opinions of Customer Reviews
Reinald Kim Amplayo, Arthur Bražinskas, Yoshihiko Suhara, Xiaolan Wang and Bing Liu
July 7, 12:30-13:00 - Break I
July 7, 14:30-15:30 - Keynote - Alistair Moffat
Shane Culpepper
- (KEYNOTE) Users: Can’t Work With Them, Can’t Work Without Them?
Alistair Moffat (Full Professor, The University of Melbourne, Australia)
July 7, 15:30-17:00 - Break II
July 7, 17:00-18:30 - Fairness, Conversational IR, Digital Assistants and Perspectives
Damiano Spina
- 17:00 - (FP) CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems
Mohammadmehdi Naghiaei, Hossein A. Rahmani and Yashar Deldjoo - 17:15 - (PR) Competitive Search
Oren Kurland and Moshe Tennenholtz - 17:30 - (TOIS) Meta-evaluation of Conversational Search Evaluation Metrics
Zeyang Liu, Ke Zhou and Max L. Wilson - 17:45 - (TOIS) Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations
Daricia Wilkinson, Oznur Alkan, Q. Vera Liao, Massimiliano Mattetti, Inge Vejsbjerg, Bart Knijnenburg and Elizabeth Daly - 18:00 - (TOIS) From Users' Intentions to IF-THEN Rules in the Internet of Things
Fulvio Corno, Luigi De Russis and Alberto Monge Roffarello
July 7, 17:00-18:30 - Efficiency and NLP and Semantics
Yi Fang
- 17:00 - (FP) Single-shot Embedding Dimension Search in Recommender System
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi and Hongzhi Yin - 17:15 - (FP) Forest-based Deep Recommender
Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu and Enhong Chen - 17:30 - (FP) Scalable Exploration for Online Learning to Rank with Perturbed Feedback
Yiling Jia and Hongning Wang - 17:45 - (FP) On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu and Quoc Viet Hung Nguyen - 18:00 - (TOIS) Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment
Zhiwen Xie, Runjie Zhu, Kunsong Zhao, Jin Liu, Guangyou Zhou and Jimmy Huang
July 7, 18:30-19:30 - Poster & demo session II
- (SP) Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems
Zhaolin Gao, Tianshu Shen, Zheda Mai, Mohamed Reda Bouadjenek, Isaac Waller, Ashton Anderson, Ron Bodkin and Scott Sanner - (RP) Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval
Dingkun Long, Qiong Gao, Kuan Zou, Guangwei Xu, Pengjun Xie, Ruijie Guo, Jian Xu, Guanjun Jiang, Luxi Xing and Ping Yang - (RP) A Dataset for Sentence Retrieval for Open-Ended Dialogues
Itay Harel, Hagai Taitelbaum, Idan Szpektor and Oren Kurland - (RP) MET-Meme: A Multimodal Meme Dataset Rich in Metaphors
Bo Xu, Tingting Li, Junzhe Zheng, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin and Feng Xia - (RP) BARS: Towards Open Benchmarking for Recommender Systems
Jieming Zhu, Kelong Mao, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Zhicheng Dou, Xi Xiao and Rui Zhang - (DEMO) SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals
Zijian Zijian, Vinay Setty and Avishek Anand - (DEMO) RecDelta: An Interactive Dashboard on Top-k Recommendation for Cross-model Evaluation
Yi-Shyuan Chiang, Yu-Ze Liu, Chen Feng Tsai, Jing-Kai Lou, Ming-Feng Tsai and Chuan-Ju Wang - (DEMO) DIANES: A DEI Audit Toolkit for News Sources
Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang and Subramaniam Vincent - (TOIS) Target-Guided Emotion Aware Chat Machine
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, and Shanshan Feng - (SP) Coarse-to-Fine Sparse Sequential Recommendation
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel and Julian McAuley - (SP) GERE: Generative Evidence Retrieval for Fact Verification
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan and Xueqi Cheng - (SP) Constrained Sequence-to-Tree Generation for Hierarchical Text Classification
Chao Yu, Yi Shen and Yue Mao - (SP) Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation
Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang and Dong Wang - (SP) Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR Prediction
Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin and Jingping Shao - (SP) FUM: Fine-grained and Fast User Modeling for News Recommendation
Tao Qi, Fangzhao Wu, Chuhan Wu and Yongfeng Huang - (SP) Extractive Elementary Discourse Units for Improving Abstractive Summarization
Ye Xiong, Teeradaj Racharak and Minh Le Nguyen - (SP) Expression Syntax Information Bottleneck for Math Word Problems
Jing Xiong, Chengming Li, Min Yang, Xiping Hu and Bin Hu - (SP) Explainable Session-based Recommendation with Meta-Path Guided Instances and Self-Attention Mechanism
Jiayin Zheng, Juanyun Mai and Yanlong Wen - (SP) Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge
Qinglin Zhu, Bin Liang, Jingyi Sun, Jiachen Du, Lanjun Zhou and Xu Ruifeng - (SP) Enhancing Top-N Item Recommendations by Peer Collaboration
Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen and Xiaoyan Zhao - (SP) Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation
Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin and Yong Li - (SP) Enhancing Event-Level Sentiment Analysis with Structured Arguments
Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai and Liang He - (SP) End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation
Yue Zhang, Hongliang Fei and Ping Li - (SP) Empowering Next POI Recommendation with Multi-Relational Modeling
Zheng Huang, Jing Ma, Yushun Dong, Natasha Foutz and Jundong Li - (SP) EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems
Ishaan Kumar, Yaochen Hu and Yingxue Zhang - (SP) Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher
Shujie Li, Min Yang, Chengming Li and Ruifeng Xu - (SP) DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction
Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei and Ming Zhang - (SP) Dialogue Topic Segmentation via Parallel Extraction Network with Neighbor Smoothing
Xia Jinxiong, Liu Cao, Chen Jiansong, Li Yuchen, Yang Fan, Cai Xunliang, Wan Guanglu and Wang Houfeng - (SP) DeSCoVeR: Debiased Semantic Context Prior for Venue Recommendation
Sailaja Rajanala, Arghya Pal, Manish Singh, Raphael Phan and Wong Koksheik - (SP) Denoising Time Cycle Modeling for Recommendation
Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen and Wenliang Zhong - (RP) SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data
Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, Nhat-Minh Nguyen and Thanh-Nam Doan - (SP) CORE: Simple and Effective Session-based Recommendation Within Consistent Representation Space
Yupeng Hou, Binbin Hu, Zhiqiang Zhang and Wayne Xin Zhao - (SP) A Content Recommendation Policy for Gaining Subscribers
Konstantinos Theocharidis, Manolis Terrovitis, Spiros Skiadopoulos and Panagiotis Karras - (SP) A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu and Xianchao Zhang - (SP) Improving Micro-video Recommendation via Contrastive Multiple Interests
Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng and Wei Zhuo - (SP) IPR: Interaction-level Preference Ranking for Explicit feedback
Shih-Yang Liu, Hsien Hao Chen, Chih-Ming Chen, Ming-Feng Tsai and Chuan-Ju Wang - (SP) Item-Provider Co-learning for Sequential Recommendation
Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song and Lingling Yi - (SP) Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling
Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng and Jun Lei - (SP) L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks
Fangxin Liu, Haomin Li and Li Jiang - (SP) Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization
Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu and Bo Zheng - (SP) Masking and Generation: An Unsupervised Method for Sarcasm Detection
Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin and Ruifeng Xu - (SP) MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios
Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Luping Wang, Hong Wen, Chengjun Mao and Bo Cao - (SP) Modality-Balanced Embedding for Video Retrieval
Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang and Qiushi Xiao - (SP) Training Entire-Space Models for Target-oriented Opinion Words Extraction
Yuncong Li, Fang Wang and Sheng-Hua Zhong - (SP) Point Prompt Tuning for Temporally Language Grounding
Yawen Zeng - (SP) Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction
Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao and Jianhui Ma - (TOIS) Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-Based Dialogues
Ruijian Xu, Chongyang Tao, Jiazhan Feng , Wei Wu, Rui Yan and Dongyan Zhao - (SP) Re-weighting Negative Samples for Model-Agnostic Matching
Jiazhen Lou, Hong Wen, Fuyu Lv, Jing Zhang, Tengfei Yuan and Zhao Li - (SP) Rethinking Correlation-based Item-Item Similarities for Recommender Systems
Katsuhiko Hayashi - (SP) Socially-aware Dual Contrastive Learning for Cold-Start Recommendation
Jing Du, Zesheng Ye, Lina Yao, Bin Guo and Zhiwen Yu - (SP) Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation
Pengyang Li, Rong Chen, Quan Liu, Jian Xu and Bo Zheng - (SP) Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction
Chenwei Lou, Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Weiwei Tu and Ruifeng Xu - (SP) When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction
Wanjie Tao, Liangyue Li, Chen Chen, Zulong Chen and Hong Wen - (SP) Hierarchical Task-aware Multi-Head Attention Network
Jing Du, Lina Yao, Xianzhi Wang, Bin Guo and Zhiwen Yu - (SP) MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization
Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Zheng Wang, Hao Peng, Jianxin Li and Lihong Wang - (SP) Graph Capsule Network with a Dual Adaptive Mechanism
Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo and Xuan Zhang - (SP) Distilling Knowledge on Text Graph for Social Media Attribute Inference
Quan Li, Xiaoting Li, Lingwei Chen and Dinghao Wu - (SP) Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang and Fuzhen Zhuang - (SP) Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention
Junfei Wu, Qiang Liu, Weizhi Xu and Shu Wu - (SP) Assessing Scientific Research Papers with Knowledge Graphs
Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman and Jay Pujara - (SP) Animating Images to Transfer CLIP for Video-Text Retrieval
Yu Liu, Huai Chen, Lianghua Huang, Di Chen, Bin Wang, Pan Pan and Lisheng Wang - (SP) An Efficient Fusion Mechanism for Multimodal Low-resource Setting
Dushyant Singh Chauhan, Asif Ekbal and Pushpak Bhattacharyya - (SP) Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction
Xiaochen Li, Jian Liang, Xialong Liu and Yu Zhang - (SP) A New Sequential Prediction Framework with Spatial-temporal Embedding
Jihai Zhang, Fangquan Lin, Cheng Yang and Wei Jiang - (TOIS) Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen
July 11
July 11, 9:00-12:30 - Tutorials - On site (Half Day Morning)
- (TUTORIAL) Gender Fairness in Information Retrieval Systems
Room: «Sala María Zambrano», Floor: 5
Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat and Ebrahim Bagheri - (TUTORIAL) Improving Efficiency and Robustness of Transformer-based Information Retrieval Systems
Room: «Cine», Floor: -1
Edmon Begoli, Sudarshan Srinivasan and Maria Mahbub
July 11, 9:00-17:00 - Tutorials - On site (Full Day)
- (TUTORIAL) Conversational Information Seeking: Theory and Application
Room: «Sala Gómez de la Serna», Floor: 5
Jeff Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski, Federico Rossetto, Johanne R. Trippas and Hamed Zamani - (TUTORIAL) Examining User Behaviour in Information Retrieval
Room: «Sala de Columnas», Floor: 4
George Buchanan and Dana Mckay
July 11, 10:30-11:00 - Coffe break (morning)
July 11, 12:30-13:30 - Lunch
July 11, 13:30-17:00 - Tutorials - On site (Half Day Afternoon)
- (TUTORIAL) Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation
Room: «Sala María Zambrano», Floor: 5
Markus Schedl, Emilia Gomez and Elisabeth Lex - (TUTORIAL) Towards Reproducible Machine Learning Research in Information Retrieval
Room: «Cine», Floor: -1
Ana Lucic, Maurits Bleeker, Maarten de Rijke, Koustuv Sinha, Sami Jullien and Robert Stojnic
July 11, 15:00-15:30 - Coffe break (afternoon)
July 11, 15:30-17:50 - Doctoral Consortium
Room: «Sala Antonio Palacios», Floor: 4
- 15:45-16:05 - (DC) User-centered Non-factoid Answer Retrieval
Marwah Alaofi - 15:45-16:05 - (DC) Knowledge-based Explanation Generation for Recommendation from Review
Zuoxi Yang - 16:05-16:25 - (DC) Continuous Result Delta Evaluation of IR Systems
Gabriela Nicole González Sáez - 16:05-16:25 - (DC) Fairness-Aware Question Answering for Intelligent Assistants
Sachin Pathiyan Cherumanal - 16:40-17:00 - (DC) Neural Pseudo-Relevance Feedback Models for Sparse and Dense Retrieval
Xiao Wang - 16:40-17:00 - (DC) Explainable Conversational Question Answering over Heterogeneous Sources
Philipp Christmann - 17:00-17:20 - (DC) Improving Fairness and Transparency for Artists in Music Recommender Systems
Karlijn Dinnissen - 17:00-17:20 - (DC) KA-Recsys: Patient Focused Knowledge Appropriate Health Recommender System:A case study with ovarian cancer patients
Khushboo Thaker - 17:20-17:40 - (DC) Pre-Training for Mathematics-Aware Retrieval
Anja Reusch - 17:20-17:40 - (DC) Adaptive Dialogue Management for Conversational Information Elicitation
Harshita Sahijwani
July 11, 15:30-19:00 - Tutorials - Online (Half Day)
Room: «Online», Floor: -
- (TUTORIAL) Continual Learning Dialogue Systems: Learning during Conversation
Sahisnu Mazumder and Bing Liu
July 11, 20:00-21:30 - Welcome Reception
Room: «Azotea», Floor: 7
July 12
July 12, 9:00-9:30 - Welcome
Room: «Teatro Francisco de Rojas», Floor: 2 . Overflow room: «Sala de Columnas»
July 12, 9:30-10:30 - Keynote - Jaime Teevan
Room: «Teatro Francisco de Rojas», Floor: 2 . Overflow room: «Sala de Columnas»
Ben Carterette
- (KEYNOTE) Searching for a New and Better Future of Work
Jaime Teevan (Chief Scientist & Technical Fellow, Microsoft)
July 12, 10:30-11:00 - Coffe break (morning)
July 12, 11:00-12:30 - Multi- and Cross-modal IR
Room: «Sala de Columnas», Floor: 4
Mohammad Aliannejadi
- 11:00 - (FP) CRET: Cross-Modal Retrieval Transformer for Efficient Text-Video Retrieval
Kaixiang Ji, Jiajia Liu, Weixiang Hong, Liheng Zhong, Jian Wang, Jingdong Chen and Wei Chu - 11:15 - (FP) Multimodal Disentanglement Variational AutoEncoders for Zero-Shot Cross-Modal Retrieval
Jialin Tian, Kai Wang, Xing Xu, Zuo Cao, Fumin Shen and Heng Tao Shen - 11:30 - (FP) CenterCLIP: Token Clustering for Efficient Text-Video Retrieval
Shuai Zhao, Linchao Zhu, Xiaohan Wang and Yi Yang - 11:45 - (FP) Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval
Wentao Tan, Lei Zhu, Weili Guan, Jingjing Li and Zhiyong Cheng - 12:00 - (FP) V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation
Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen and Liqiang Nie
July 12, 11:00-12:30 - Session-based and group Recommendation
Room: «Sala Gómez de la Serna», Floor: 5
Tat-Seng Chua
- 11:00 - (FP) Thinking inside The Box: Learning Hypercube Representations for Group Recommendation
Tong Chen, Hongzhi Yin, Jing Long, Nguyen Quoc Viet Hung, Yang Wang and Meng Wang - 11:15 - (FP) An Attribute-Driven Mirror Graph Network for Session-based Recommendation
Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang and Aixin Sun - 11:30 - (FP) Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation
Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu and Hongfei Lin - 11:45 - (FP) AutoGSR: Neural Architecture Search for Graph-based Session Recommendation
Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan and Yihua Huang - 12:00 - (FP) Multi-Faceted Global Item Relation Learning for Session-Based Recommendation
Qilong Han, Chi Zhang, Rui Chen, Riwei Lai, Hongtao Song and Li Li - 12:15 - (TOIS) Integrating Collaboration and Leadership in Conversational Group Recommender Systems
David Contreras, María Salamó, and Ludovico Boratto
July 12, 11:00-12:30 - CTR and Conversion Rate Prediction
Room: «Sala María Zambrano», Floor: 5
Charlie Clarke
- 11:00 - (FP) HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction
Zuowu Zheng, Changwang Zhang, Xiaofeng Gao and Guihai Chen - 11:15 - (FP) NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction
Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan and Yihua Huang - 11:30 - (FP) Enhancing CTR Prediction with Context-Aware Feature Representation Learning
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang and Ning Gu - 11:45 - (FP) Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer
Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Luo Da, Kangyi Lin, Sophia Ananiadou and Junzhou Huang - 12:00 - (FP) ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation
Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li and Wei Chu - 12:15 - (TOIS) The Simpson's Paradox in the Offline Evaluation of Recommendation Systems
Amir Jadidinejad, Craig MacDonald and Iadh Ounis
July 12, 11:00-12:30 - Conversational IR 1
Room: «Teatro Francisco de Rojas», Floor: 2
Hamed Zamani
- 11:00 - (FP) Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval
Kelong Mao, Zhicheng Dou and Hongjin Qian - 11:15 - (FP) Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation
Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si and Yongbin Li - 11:30 - (FP) COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas
Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang and Chuangbai Xiao - 11:45 - (FP) Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy
Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang and Tat-Seng Chua - 12:00 - (FP) User-Centric Conversational Recommendation with Multi-Aspect User Modeling
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang and Qing He - 12:15 - (FP) Generating Clarifying Questions with Web Search Results
Ziliang Zhao, Zhicheng Dou, Jiaxin Mao and Jirong Wen
July 12, 12:30-13:30 - Lunch - Student luncheon
Room: «Sala de Columnas», Floor: 4
- (BREAK) Invited talks
Ben Carterette, Spotify
Helen (Zi) Huang, University of Queensland
Julián Urbano, Delft University of Technology
- (BREAK) Free discussions among the students and the table captains
Students and table captains
July 12, 13:30-15:00 - Perspectives in IR
Room: «Sala María Zambrano», Floor: 5
Chirag Shah
- 13:30 - (PR) Retrieval-Enhanced Machine Learning
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler and Michael Bendersky - 13:45 - (PR) Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers
Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli and Paolo Cremonesi - 14:00 - (PR) Reduce, Reuse, Recycle: Green Information Retrieval Research
Harrisen Scells, Shengyao Zhuang and Guido Zuccon - 14:15 - (PR) Where Do Queries Come From?
Marwah Alaofi, Luke Gallagher, Dana Mckay, Lauren L. Saling, Mark Sanderson, Falk Scholer, Damiano Spina and Ryen W. White - 14:30 - (PR) On Natural Language User Profiles for Transparent and Scrutable Recommendation
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon and Ben Wedin - 14:45 - (PR) Is Non-IID Data a Threat in Federated Online Learning to Rank?
Shuyi Wang and Guido Zuccon
July 12, 13:30-15:00 - Recommender Systems 1
Room: «Sala Gómez de la Serna», Floor: 5
Eugene Agichtein
- 13:30 - (FP) ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping
Mozhdeh Ariannezhad, Sami Jullien, Ming Li, Min Fang, Sebastian Schelter and Maarten de Rijke - 13:45 - (FP) User-controllable Recommendation Against Filter Bubbles
Wenjie Wang, Fuli Feng, Liqiang Nie and Tat-Seng Chua - 14:00 - (FP) Unify Local and Global Information for Top-N Recommendation
Xiaoming Liu, Shaocong Wu, Zhaohan Zhang and Chao Shen - 14:15 - (FP) AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Zelong Li, Jianchao Ji, Yingqiang Ge and Yongfeng Zhang - 14:30 - (FP) Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation
Xiaocong Chen, Lina Yao, Julian Mcauley, Weili Guan, Xiaojun Chang and Xianzhi Wang - 14:45 - (FP) Privacy-Preserving Synthetic Data Generation for Recommendation Systems
Fan Liu, Huilin Chen, Zhiyong Cheng, Yinwei Wei, Liqiang Nie and Mohan Kankanhalli
July 12, 13:30-14:30 - SIRIP Session 1: Keynote
Room: «Cine», Floor: -1
- 13:30 - (SIRIP) Opening remarks (SIRIP co-chairs)
- 13:40 - (SIRIP) Keynote 1: Search at Bloomberg: Challenges, Opportunities and Lessons Learned
Edgar Meij (Bloomberg, USA)
July 12, 13:30-15:00 - Bias in IR
Room: «Teatro Francisco de Rojas», Floor: 2
Josiane Mothe
- 13:30 - (FP) Can Clicks Be Both Labels and Features? Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank
Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin and Qingyao Ai - 13:45 - (FP) Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach
Shengyao Zhuang, Hang Li and Guido Zuccon - 14:00 - (FP) Bilateral Self-unbiased Learning from Biased Implicit Feedback
Jae-woong Lee, Seongmin Park, Joonseok Lee and Jongwuk Lee - 14:15 - (FP) Interpolative Distillation for Unifying Biased and Debiased Recommendation
Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao and Yongdong Zhang - 14:30 - (FP) Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering
Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Runze Wu, Xudong Shen and Tangjie Lv - 14:45 - (TOIS) A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher and Robin Burke
July 12, 13:30-15:00 - Evaluation and User Studies
Room: «Sala de Columnas», Floor: 4
Gianluca Demartini
- 13:30 - (FP) Ranking Interruptus: When Truncated Rankings Are Better and How to Measure That
Enrique Amigo, Stefano Mizzaro and Damiano Spina - 13:45 - (FP) Human Preferences as Dueling bandits
Xinyi Yan, Chengxi Luo, Charles Clarke, Nick Craswell, Ellen Voorhees and Pablo Castells - 14:00 - (FP) A Flexible Framework for Offline Effectiveness Metrics
Alistair Moffat, Joel Mackenzie, Paul Thomas and Leif Azzopardi - 14:15 - (FP) IR Evaluation and Learning in the Presence of Forbidden Documents
David Carmel, Nachshon Cohen, Amir Ingber and Elad Kravi - 14:30 - (FP) Offline Retrieval Evaluation Without Evaluation Metrics
Fernando Diaz and Andres Ferraro - 14:45 - (FP) Information Need Awareness: An EEG study
Dominika Michalkova, Mario Parra and Yashar Moshfeghi
July 12, 14:30-16:00 - SIRIP Session 2: Tech Section 1 - Search
Room: «Cine», Floor: -1
- 14:30 - (SIRIP) Learning to Rank Instant Search Results with Multiple Indices: A Case Study in Search Aggregation for Entertainment
Scott Rome, Sardar Hamidian, Richard Walsh, Kevin Foley and Ferhan Ture (Comcast, USA) - 14:45 - (SIRIP) ClueWeb22: 10 Billion Web Documents with Rich Information
Arnold Overwijk, Chenyan Xiong (Microsoft, USA), Jamie Callan (Carnegie Mellon University, USA) - 15:30 - (SIRIP) Extractive Search for Analysis of Biomedical Texts
Daniel Clothiaux and Ravi Starz (Bioplx, USA) - 15:45 - (SIRIP) Query Facet Mapping and its Applications in Streaming Services: the Netflix Case Study
Sudeep Das, Ivan Provalov, Vickie Zhang and Weidong Zhang (Netflix Inc., USA)
July 12, 15:00-15:30 - Coffe break (afternoon)
July 12, 15:30-17:00 - Poster & demo session I
Room: «Salón de baile», Floor: 2
- (SP) Exploiting Session Information in BERT-based Session-aware Sequential Recommendation
Jinseok Seol, Youngrok Ko and Sang-Goo Lee - (RP) ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections
Jiexin Wang, Adam Jatowt and Masatoshi Yoshikawa - (RP) Axiomatic Retrieval Experimentation with ir_axioms
Alexander Bondarenko, Maik Frobe, Jan Heinrich Reimer, Benno Stein, Michael Volske and Matthias Hagen - (RP) CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines
Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly and Saptarshi Ghosh - (RP) Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2
Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira and Jimmy Lin - (SP) Diversity Vs Relevance: A Practical Multi-objective Study in Luxury Fashion Recommendations
Joao Sa, Vanessa Queiroz Marinho, Ana Rita Magalhaes, Tiago Lacerda and Diogo Goncalves - (RP) ir_metadata: An Extensible Metadata Schema for IR Experiments
Timo Breuer, Juri Keller and Philipp Schaer - (RP) From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search
Shuai Wang, Harrisen Scells, Justin Clark, Bevan Koopman and Guido Zuccon - (SP) A Meta-learning Approach to Fair Ranking
Yuan Wang, Zhiqiang Tao and Yi Fang - (SP) Can Users Predict Relative Query Effectiveness?
Oleg Zendel, Melika Ebrahim, Shane Culpepper, Alistair Moffat and Falk Scholer - (SP) C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval
Eugene Yang, Suraj Nair, Ramraj Chandradevan, Rebecca Iglesias-Flores and Douglas Oard - (SP) BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval
Minghan Li and Eric Gaussier - (SP) Answering Count Queries with Explanatory Evidence
Shrestha Ghosh, Simon Razniewski and Gerhard Weikum - (RP) iRec: An Interactive Recommendation Framework
Thiago Silva, Nicollas Silva, Heitor Werneck, Carlos Mito, Adriano Pereira and Leonardo Rocha - (SP) Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings
Georgios Sidiropoulos and Evangelos Kanoulas - (SP) Analyzing the Support Level for Tips Extracted from Product Reviews
Miriam Farber, David Carmel, Lital Kuchy and Avihai Mejer - (SP) An Efficiency Study for SPLADE Models
Carlos Lassance and Stephane Clinchant - (SP) Alignment Rationale for Query-Document Relevance
Youngwoo Kim, Negin Rahimi and James Allan - (SP) AHP: Learning to Negative Sample for Hyperedge Prediction
Hyunjin Hwang, Seungwoo Lee, Chanyoung Park and Kijung Shin - (SP) Addressing Gender-related Performance Disparities in Neural Rankers
Shirin Seyedsalehi, Negar Arabzadeh, Amin Bigdeli, Morteza Zihayat and Ebrahim Bagheri - (DEMO) LawNet-Viz: A Web-based System to Visually Explore Networks of Law Article References
Lucio La Cava, Andrea Simeri and Andrea Tagarelli - (SP) A Multi-Task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems
To Eun Kim and Aldo Lipani - (DEMO) IRVILAB: Gamified Searching on Multilingual Wikipedia
Paavo Arvola and Tuulikki Alamettala - (DEMO) CHERCHE: A New Tool to Rapidly Implement Pipelines in Information Retrieval
Rapahel Sourty, Jose G Moreno, Lynda Tamine and Francois-Paul Servant - (SP) From Cluster Ranking to Document Ranking
Egor Markovskiy, Fiana Raiber, Shoham Sabach and Oren Kurland - (SP) From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective
Thibault Formal, Carlos Lassance, Benjamin Piwowarski and Stephane Clinchant - (SP) GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment
Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun and Chanyoung Park - (SP) How Does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?
Hang Li, Ahmed Mourad, Bevan Koopman and Guido Zuccon - (SP) Identifying Argumentative Questions in Web Search Logs
Yamen Ajjour, Pavel Braslavski, Alexander Bondarenko and Benno Stein - (DEMO) BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain
Viju Sudhi, Sabine Wehnert, Norbert Michael Homner, Sebastian Ernst, Mark Gonter, Andreas Krug and Ernesto W. De Luca - (SP) Improving Conversational Recommender Systems via Transformer-based Sequential Modelling
Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun and Cheng Long - (SP) Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences
Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz and Carsten Eickhoff - (SP) InPars: Unsupervised Dataset Generation for Information Retrieval
Luiz Bonifacio, Hugo Abonizio, Marzieh Fadaee and Rodrigo Nogueira - (SP) Interactive Query Clarification and Refinement via User Simulation
Pierre Erbacher, Ludovic Denoyer and Laure Soulier - (SP) Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings
Esau Villatoro-Tello, Srikanth Madikeri, Petr Motlicek, Aravind Ganapathiraju and Alexei V. Ivanov - (SP) ILMART: Interpretable Ranking with Constrained LambdaMART
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego and Alberto Veneri - (SP) Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering
Chenglong Ma, Yongli Ren, Pablo Castells and Mark Sanderson - (RP) CODEC: Complex Document and Entity Collection
Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney and Jeffrey Dalton - (SP) Detecting Frozen Phrases in Open-Domain Question Answering
Mostafa Yadegari, Ehsan Kamalloo and Davood Rafiei - (DEMO) A Python Interface to PISA!
Sean MacAvaney and Craig Macdonald - (DEMO) A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking
Maciej Rybinski, Liam Watts and Sarvnaz Karimi - (DEMO) Are Taylor's Posts Risky? Evaluating Cumulative Revelations in Online Personal Data: A persona-based tool for evaluating awareness of online risks and harms
Leif Azzopardi, Jo Briggs, Melissa Duheric, Callum Nash, Emma Nicol, Wendy Moncur and Burkhard Schafer - (DEMO) Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints During Training
Shengyao Zhuang and Guido Zuccon - (DEMO) Golden Retriever: A Real-Time Multi-Modal Text-Image Retrieval System with the Ability to Focus
Florian Schneider and Chris Biemann - (SP) An MLP-based Algorithm for Efficient Contrastive Graph Recommendations
Siwei Liu, Iadh Ounis and Craig Macdonald
July 12, 16:00-17:00 - SIRIP Session 3: Panel 1
Room: «Cine», Floor: -1
- 16:00 - (SIRIP) Panel - Information Ecosystem Threats in Minoritized Communities: Challenges, Open Problems and Research Directions
Prof. Shiri Dori-Hacohen, University of Connecticut and AuCoDe
Dr. Scott A. Hale, University of Oxford and Meedan
Dr. David Corney, Full Fact
Prof. Natasha Shrikant, University of Colorado Boulder
Dr. Yelena Mejova, ISI Foundation
July 12, 17:00-18:30 - Women in IR
Room: «Sala de Columnas», Floor: 4
July 12, 19:00-20:30 - Fetén Fetén in concert
Room: «Teatro Francisco de Rojas», Floor: 2
July 13
July 13, 9:00-10:30 - POI and News Recommendation
Room: «Sala María Zambrano», Floor: 5
Harrie Oosterhuis
- 9:00 - (FP) Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation
Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng and Rui Tan - 9:15 - (FP) GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation
Song Yang, Jiamou Liu and Kaiqi Zhao - 9:30 - (FP) Learning Graph-based Disentangled Representations for Next POI Recommendation
Zhaobo Wang, Yanmin Zhu, Haobing Liu and Chunyang Wang - 9:45 - (FP) ProFairRec: Provider Fairness-aware News Recommendation
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang and Xing Xie - 10:00 - (FP) CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users
Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou and Hui Xiong - 10:15 - (FP) Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation
Shansan Gong and Kenny Zhu
July 13, 9:00-10:30 - Recommender Systems 2
Room: «Teatro Francisco de Rojas», Floor: 2
Lizi Liao
- 9:00 - (FP) MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations
Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen and Guandong Xu - 9:15 - (FP) HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng and Yunjun Gao - 9:30 - (FP) Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator
Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding and Ji-Rong Wen - 9:45 - (FP) Self-Guided Learning to Denoise for Robust Recommendation
Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang and Baihua Zheng - 10:00 - (FP) Deployable and Continuable Meta-Learning-Based Recommender System with Fast User-Incremental Updates
Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng Yang and Xiaoyue Feng - 10:15 - (FP) Knowledge Graph Contrastive Learning for Recommendation
Yuhao Yang, Chao Huang, Lianghao Xia and Chenliang Li
July 13, 9:00-10:30 - Knowledge Graphs
Room: «Sala de Columnas», Floor: 4
Arjen P. de Vries
- 9:00 - (FP) Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction
Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang and Tianzhe Zhao - 9:15 - (FP) Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si and Huajun Chen - 9:30 - (FP) Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective
Ying Zhou, Xuanang Chen, Ben He, Zheng Ye and Le Sun - 9:45 - (FP) Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu and Huajun Chen - 10:00 - (FP) Multimodal Entity Linking with Gated Hierarchical Fusion and Contrastive Training
Peng Wang, Jiangheng Wu and Xiaohang Chen
July 13, 9:00-10:30 - Collaborative Filtering
Room: «Sala Gómez de la Serna», Floor: 5
Haolun Wu
- 9:00 - (FP) Hypergraph Contrastive Collaborative Filtering
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin and Jimmy Huang - 9:15 - (FP) Geometric Disentangled Collaborative Filtering
Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng and Qi Zhang - 9:30 - (FP) INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering
Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao and Xueqi Cheng - 9:45 - (FP) Improving Implicit Alternating Least Squares with Ring-based Regularization
Rui Fan, Jin Chen, Jin Zhang, Defu Lian and Enhong Chen - 10:00 - (FP) Graph Trend Filtering Networks for Recommendation
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang and Qing Li - 10:15 - (FP) Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering
Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang and Wayne Xin Zhao
July 13, 10:30-11:00 - Coffe break (morning)
July 13, 11:00-12:30 - Reproducibility
Room: «Sala Gómez de la Serna», Floor: 5
Nicola Ferro
- 11:00 - (PERSPECTIVES PAPER) Where Does the Performance Improvement Come From? - A Reproducibility Concern about Image-Text Retrieval
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu and Dacheng Tao - 11:15 - (PERSPECTIVES PAPER) State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study
Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood and Maarten de Rijke - 11:30 - (PERSPECTIVES PAPER) Another Look at Information Retrieval as Statistical Translation
Yuqi Liu, Chengcheng Hu and Jimmy Lin - 11:45 - (PERSPECTIVES PAPER) Experiments on Generalizability of User-Oriented Fairness in Recommender Systems
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan and Mohammad Aliannejadi - 12:00 - (PERSPECTIVES PAPER) Users and Contemporary SERPs: A (Re-)Investigation: Examining User Interactions and Experiences
Nirmal Roy, David Maxwell and Claudia Hauff - 12:15 - (PERSPECTIVES PAPER) An Inspection of the Reproducibility and Replicability of TCT-ColBERT
Xiao Wang, Sean MacAvaney, Craig Macdonald and Iadh Ounis
July 13, 11:00-12:30 - Question Answering
Room: «Teatro Francisco de Rojas», Floor: 2
David Carmel
- 11:00 - (FP) A Non-Factoid Question-Answering Taxonomy
Valeriia Bolotova, Vladislav Blinov, Falk Scholer, Bruce Croft and Mark Sanderson - 11:15 - (FP) QUASER: Question Answering with Scalable Extractive Rationalization
Asish Ghoshal, Srini Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Yih and Yashar Mehdad - 11:30 - (FP) PTAU: Prompt Tuning for Attributing Unanswerable Questions
Jinzhi Liao, Xiang Zhao, Jianming Zheng, Xinyi Li, Fei Cai and Jiuyang Tang - 11:45 - (FP) DGQAN: Dual Graph Question-Answer Attention Networks for Answer Selection
Haitian Yang, Xuan Zhao, Yan Wang, Min Li, Wei Chen and Weiqing Huang - 12:00 - (TOIS) MyrrorBot: a a Digital Assistant Based on Holistic User Models for Personalized Access to Online Services
Cataldo Musto, Fedelucio Narducci, Marco Polignano, Marco De Gemmis, Pasquale Lops, and Giovanni Semeraro
July 13, 11:00-12:30 - Cross-Domain IR
Room: «Sala María Zambrano», Floor: 5
Eric Gaussier
- 11:00 - (FP) DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu and Bin Wang - 11:15 - (FP) Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval
Jialin Tian, Xing Xu, Kai Wang, Zuo Cao, Xunliang Cai and Heng Tao Shen - 11:30 - (FP) Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation
Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang and Shuai Li - 11:45 - (FP) Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition
Xinghua Zhang, Bowen Yu, Tingwen Liu, Yubin Wang, Taoyu Su and Hongbo Xu - 12:00 - (FP) Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation
Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan and Chaochao Chen
July 13, 11:00-12:30 - Conversational IR 2
Room: «Sala de Columnas», Floor: 4
Claudia Hauff
- 11:00 - (FP) Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems
Shuo Zhang, Mu Chun Wang and Krisztian Balog - 11:15 - (FP) Conversational Question Answering on Heterogeneous Sources
Philipp Christmann, Rishiraj Saha Roy and Gerhard Weikum - 11:30 - (FP) Structured and Natural Responses Co-generation for Conversational Search
Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji and Tat-Seng Chua - 11:45 - (FP) Variational Reasoning about User Preferences for Conversational Recommendation
Zhi Tian, Zhaochun Ren, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke and Zhumin Chen - 12:00 - (TOIS) A Large Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search
Svitlana Vakulenko, Evangelos Kanoulas and Maarten de Rijke - 12:15 - (TOIS) Multi-stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting
Jheng-Hong Yang, Sheng-Chieh Lin, Rodrigo Nogueira, Ming-feng Tsai, Chuan-Ju Wang and Jimmy Lin
July 13, 12:30-13:30 - Lunch
July 13, 12:30-13:30 - DEI Lunch
Room: «Sala de Columnas», Floor: 4
July 13, 13:30-14:30 - Keynote - Eneko Agirre
Room: «Teatro Francisco de Rojas», Floor: 2 . Overflow room: «Sala de Columnas»
Julio Gonzalo
- (KEYNOTE) Few-shot Information Extraction is Here: Pre-train, Prompt and Entail
Eneko Agirre (Full Professor, HiTZ Center, University of the Basque Country, Spain)
July 13, 14:30-15:00 - Coffe break (afternoon)
July 13, 15:00-16:30 - Search and Ranking 1
Room: «Teatro Francisco de Rojas», Floor: 2
Benjamin Piwowarski
- 15:00 - (FP) CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos
Shengyao Zhuang and Guido Zuccon - 15:15 - (FP) Entity-aware Transformers for Entity Search
Emma Gerritse, Faegheh Hasibi and Arjen de Vries - 15:30 - (FP) BERT-ER: Query-Specific BERT Entity Representations for Entity Ranking
Shubham Chatterjee and Laura Dietz - 15:45 - (TOIS) Anytime Ranking on Document-Ordered Indexes
Joel Mackenzie, Matthias Petri and Alistair Moffat - 16:00 - (TOIS) Does More Context Help? Effects of Context Window and Application Source on Retrieval Performance
Tung Vuong, Salvatore Andolina, Giulio Jacucci, and Tuukka Ruotsalo - 16:15 - (TOIS) Fast Filtering of Search Results Sorted by Attribute
Franco Maria Nardini, Roberto Trani and Rossano Venturini
July 13, 15:00-16:30 - NLP and Semantics
Room: «Sala de Columnas», Floor: 4
Faegheh Hasibi
- 15:00 - (FP) HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance
Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiaoli Li and Suge Wang - 15:15 - (FP) Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning
Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan and Lingling Zhang - 15:30 - (FP) Personalized Abstractive Opinion Tagging
Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke and Zhaochun Ren - 15:45 - (FP) Contrastive Learning with Hard Negative Entities for Entity Set Expansion
Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen and Hai-Tao Zheng - 16:00 - (FP) Unifying Cross-lingual Summarization and Machine Translation with Compression Rate
Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Yiming Zhu, Jiaao Zhan, Zewen Chi and Boxing Chen - 16:15 - (TOIS) CATS: Customizable Abstractive Topic-based Summarization
Seyed Ali Bahrainian, George Zerveas, Fabio Crestani and Carsten Eickhoff
July 13, 15:00-16:30 - Social Aspects
Room: «Sala María Zambrano», Floor: 5
Carsten Eickhoff
- 15:00 - (FP) Towards Suicide Ideation Detection Through Online Conversational Context
Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov and Lucie Flek - 15:15 - (FP) Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders
Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong and Tarek Abdelzaher - 15:30 - (FP) A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection in Multi-modal Code-Mixed Memes
Krishanu Maity, Prince Jha, Sriparna Saha and Pushpak Bhattacharyya - 15:45 - (FP) Bias Mitigation for Toxicity Detection via Sequential Decisions
Lu Cheng, Ahmadreza Mosallanezhad, Yasin Silva, Deborah Hall and Huan Liu - 16:00 - (FP) A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning
Ruichao Yang, Jing Ma, Hongzhan Lin and Wei Gao - 16:15 - (TOIS) SPEX: A Generic Framework for Enhancing Neural Social Recommendation
Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, and Bingchuan Jiang
July 13, 15:00-16:30 - Domain-specific IR 1
Room: «Sala Gómez de la Serna», Floor: 5
Elad Yom-Tov
- 15:00 - (FP) Target-aware Abstractive Related Work Generation with Contrastive Learning
Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao and Xiangliang Zhang - 15:15 - (FP) A Study of Cross-Session Cross-Device Search Within an Academic Digital Library
Sebastian Gomes, Miriam Boon and Orland Hoeber - 15:30 - (FP) DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph
Wenwen Gong, Xuyun Zhang, Yifei Chen, Qiang He, Amin Beheshti, Xiaolong Xu, Chao Yan and Lianyong Qi - 15:45 - (FP) Interpreting Patient Descriptions using Distantly Supervised Similar Case Retrieval
Israa Alghanmi, Luis Espinosa-Anke and Steven Schockaert - 16:00 - (FP) KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums
Limeng Cui and Dongwon Lee - 16:15 - (TOIS) Personalizing Medication Recommendation with Graph-based Approach
Suman Bhoi, Mong Li Lee, Wynne Hsu, Hao Sen Andrew Fang and Ngiap Chuan Tan
July 13, 15:00-15:50 - SIRIP Session 4: Keynote 2
Room: «Cine», Floor: -1
- 15:00 - (SIRIP) Keynote 2: The Role Of GNNs In Improving Search Quality And Trust
Karthik Subbian (Amazon, USA)
Abstract: Featuring relevant and trustworthy items in search results is important for shoppers to accomplish their mission. The goal of featuring relevant results includes improving the discoverability of items when the search results are sparse and showing the exact matches when there are plenty of relevant items to feature. All relevant results are not trustworthy. So identifying untrustworthy results and excluding them is equally important for a good customer experience. The graph of query, ASIN, seller, buyer, and review contains important information to address the above challenges.
In this talk, I will cover three topics on graph convolutional networks (GCN) to improve search quality and trust. First, most of our graph data is heterogenous in nature. So, we use a relational graph convolutional network (R-GCN). I will present the R-GCN approach to improve the discoverability of relevant items. Next, I will show how we can incorporate temporal dynamics in GCNs to combat abusive buyers. Combining time and graph can be non-trivial and lead to scalability challenges. Our dynamic-GCN approach incorporates temporal dynamics by iteratively learning the user and item representations at scale. Finally, I will explain how to make GCNs work in sparse settings when there is low or no neighborhood information. Our approach is truly inductive, light-weight (for production deployment), and does not require any neighborhood information during inference time.
Bio: Karthik Subbian is a senior principal scientist at Amazon with more than 18 years of industry experience. He leads a team of scientists and engineers to improve search quality and trust. He was a research scientist and lead at Facebook, before coming to Amazon, where he had led a team of scientists and engineers to explore information propagation and user modeling problems using the social network structure and its interactions. Earlier to that, he was working at IBM T.J. Watson research center in the Business Analytics and Mathematical Sciences division. His areas of expertise include machine learning, information retrieval, and large-scale network analysis. More specifically, semi-supervised and supervised learning in networks, personalization and recommendation, information diffusion, and representation learning. He holds a masters degree from the Indian Institute of Science (IISc) and a Ph.D. from the University of Minnesota, both in computer science. Karthik has won numerous prestigious awards, including the IBM Ph.D. fellowship, best paper award at Siam Data Mining (SDM) conference 2013 and Informs Edelman laureate award 2013
July 13, 16:00-17:00 - SIRIP Session 5: Tech Section 2 - Novel Applications
Room: «Cine», Floor: -1
- 16:00 - (SIRIP) Flipping the Script: Inverse Information Seeking Dialogues for Market Research
Josh Seltzer, Kathy Cheng (Nexxt Intelligence, Canada), Shi Zong and Jimmy Lin (University of Waterloo, Canada) - 16:15 - (SIRIP) An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations
Md Tahmid Rahman Laskar, Cheng Chen, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan Tn and Simon Corston-Oliver (Dialpad Canada Inc., Canada) - 16:30 - (SIRIP) DDEN:A Heterogeneous Learning-to-Rank Approach with Deep Debiasing Experts Network
Yiran Wang, Wenchao Xiu, Taofeng Xue, Qin Zhang, Kai Zhang, Zhonghuo Wu, Yifan Yang and Gong Zhang (Meituan, China) Qiaowen Tan (Tongji University, China) - 16:45 - (SIRIP) Organizing Portuguese Legal Documents through Topic Discovery
Daniela Vianna and Edleno Moura - Universidade Federal do Amazonas (Brazil) and Jusbrasil (Brazil)
July 13, 16:30-18:00 - Poster & demo session II
Room: «Salón de baile», Floor: 2
- (SP) Understanding User Satisfaction with Task-oriented Dialogue Systems
Clemencia Siro, Mohammad Aliannejadi and Maarten de Rijke - (DEMO) Online DATEing: A Web Interface for Temporal Annotations
Dennis Aumiller, Satya Almasian, David Pohl and Michael Gertz - (SP) Regulating Group Exposure for Item Providers in Recommendation
Mirko Marras, Ludovico Boratto, Guilherme Ramos and Gianni Fenu - (RP) ORCAS-I: Queries Annotated with Intent using Weak Supervision
Daria Alexander, Wojciech Kusa and Arjen P. de Vries - (SP) Topological Analysis of Contradictions in Text
Xiangcheng Wu, Xi Niu and Ruhani Rahman - (SP) Learning to Enrich Query Representation with Pseudo-Relevance Feedback for Cross-lingual Retrieval
Ramraj Chandradevan, Eugene Yang, Mahsa Yarmohammadi and Eugene Agichtein - (SP) Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search
Dake Zhang, Amir Vakili Tahami, Mustafa Abualsaud and Mark Smucker - (SP) Tensor-based Graph Modularity for Text Data Clustering
Rafika Boutalbi, Mira Ait-Saada, Anastasiia Iurshina, Steffen Staab and Mohamed Nadif - (SP) Summarizing Legal Regulatory Documents using Transformers
Svea Klaus, Ria Van Hecke, Kaweh Djafari Naini, Ismail Sengor Altingovde, Juan Bernabe-Moreno and Enrique Herrera-Viedma - (SP) Revisiting Two-tower Models for Unbiased Learning to Rank
Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky and Marc Najork - (SP) QSG Transformer: Transformer with Query-Attentive Semantic Graph for Query-Focused Summarization
Choongwon Park and Youngjoong Ko - (SP) On Survivorship Bias in MS MARCO
Prashansa Gupta and Sean MacAvaney - (SP) On Optimizing Top-K Metrics for Neural Ranking Models
Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky and Marc Najork - (SP) On Extractive Summarization for Profile-centric Neural Expert Search in Academia
Rennan Lima and Rodrygo Santos - (SP) Learning to Rank Knowledge Sub-Graph Nodes for Entity Retrieval
Parastoo Jafarzadeh, Zahra Amirmahani and Faezeh Ensan - (SP) Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching
Ronak Pradeep, Yilin Li, Yuetong Wang and Jimmy Lin - (SP) MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning
Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong and Philip Torr - (SP) Modern baselines for SPARQL Semantic Parsing
Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, Ricardo Usbeck and Chris Biemann - (SP) Modeling User Behavior With Interaction Networks for Spam Detection
Prabhat Agarwal, Manisha Srivastava, Vishwakarma Singh and Chuck Rosenburg - (SP) Mitigating Bias in Search Results through Contextual Document Reranking and Neutrality Regularization
George Zerveas, Navid Rekabsaz, Daniel Cohen and Carsten Eickhoff - (SP) Long Document Re-ranking with Modular Re-ranker
Luyu Gao and Jamie Callan - (SP) Lightweight Meta-Learning for Low-Resource Abstractive Summarization
Taehun Huh and Youngjoong Ko - (SP) LightSGCN: Powering Signed Graph Convolution Network for Link Sign Prediction with Simplified Architecture Design
Haoxin Liu - (DEMO) QFinder: A Framework for Quantity-centric Ranking
Satya Almasian, Milena Bruseva and Michael Gertz - (DEMO) Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus
Vuk Vukovic, Akhil Arora, Huan-Cheng Chang, Andreas Spitz and Robert West - (DEMO) ROGUE: A System for Exploratory Search of GANs
Yang Liu, Alan Medlar and Dorota Glowacka - (DEMO) SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts
Andres Garcia-Silva, Cristian Camilo Berrio Aroca, Jose Manuel Gomez-Perez, Jose Antonio Martinez-Heras, Alessandro Donati and Ilaria Roma - (SP) Unlearning Protected User Attributes in Recommendations with Adversarial Training
Christian Ganhor, David Penz, Navid Rekabsaz, Oleg Lesota and Markus Schedl - (SP) Which Discriminator for Cooperative Text Generation?
Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak and Vincent Claveau - (SP) A 'Pointwise-Query, Listwise-Document' based Query Performance Prediction Approach
Suchana Datta, Sean MacAvaney, Debasis Ganguly and Derek Greene - (SP) Faster Learned Sparse Retrieval with Guided Traversal
Antonio Mallia, Joel Mackenzie, Torsten Suel and Nicola Tonellotto - (TOIS) I know what you need: Investigating Document Retrieval Effectiveness with Partial Session Contexts
Procheta Sen, Debasis Ganguly, Gareth J. F. Jones - (SP) Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems
Hojoon Lee, Dongyoon Hwang, Kyushik Min and Jaegul Choo - (SP) Zero-shot Query Contextualization for Conversational Search
Antonios Minas Krasakis, Andrew Yates and Evangelos Kanoulas - (SP) Towards Results-level Proportionality for Multi-objective Recommender Systems
Ladislav Peska and Patrik Dokoupil - (SP) Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT)
Carlos Lassance, Maroua Maachou, Joohee Park and Stephane Clinchant - (SP) To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers
Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin and Guido Zuccon - (SP) Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation with Minimal Computational Complexity
Harrie Oosterhuis - (RP) MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset
Dan Saattrup Nielsen and Ryan McConville - (RP) Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering
Trond Linjordet and Krisztian Balog - (RP) Wikimarks: Harvesting Relevance Benchmarks from Wikipedia
Laura Dietz, Shubham Chatterjee, Connor Lennox, Sumanta Kashyapi, Pooja Oza and Ben Gamari - (RP) ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
Paul Lerner, Olivier Ferret, Camille Guinaudeau, Herve Le Borgne, Romaric Besancon, Jose G Moreno and Jesus Lovon Melgarejo - (RP) Too Many Relevants: Whither Cranfield Test Collections?
Ellen Voorhees, Nick Craswell and Jimmy Lin - (RP) The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation
Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego and Nicola Tonellotto - (RP) RELISON: A Framework for Link Recommendation in Social Networks
Javier Sanz-Cruzado and Pablo Castells - (RP) MIMICS-Duo: Offline & Online Evaluation of Search Clarification
Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer and Mark Sanderson - (RP) Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?
Longquan Jiang and Ricardo Usbeck - (DEMO) TaskMAD: A Platform for Multimodal Task-Centric Knowledge-Grounded Conversational Experimentation
Alessandro Speggiorin, Jeffrey Dalton and Anton Leuski - (DEMO) TARexp: A Python Framework for Technology-Assisted Review Experiments
Eugene Yang and David Lewis - (RP) Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra and Emine Yilmaz - (SP) Multi-modal Graph Contrastive Learning for Micro-video Recommendation
Zixuan Yi, Xi Wang, Craig Macdonald and Iadh Ounis
July 13, 17:10-18:10 - SIRIP Session 6: Panel 2
Room: «Cine», Floor: -1
- 17:10 - (SIRIP) Panel - Applications and Future of Dense Retrieval in Industry
Moderator: Yubin Kim (Etsy, Inc., USA). Panelists:
Chenyan Xiong, Microsoft Research
Michael Bendersky, Google
Nils Reimers, Huggingface
Rodrigo Nogueira, NYU
July 13, 19:00-23:30 - Banquet
Room: «Palacio de Negralejo», Floor: -
July 14
July 14, 9:00-10:30 - Sequential Recommendations
Room: «Sala Gómez de la Serna», Floor: 5
Maria Maistro
- 9:00 - (FP) Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li and Xing Xie - 9:15 - (FP) Decoupled Side Information Fusion for Sequential Recommendation
Yueqi Xie, Peilin Zhou and Sunghun Kim - 9:30 - (FP) Multi-Agent RL-based Information Selection Model for Sequential Recommendation
Kaiyuan Li, Pengfei Wang and Chenliang Li - 9:45 - (FP) When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation
Yu Tian, Jianxin Chang, Yanan Niu, Yang Song and Chenliang Li - 10:00 - (FP) Multi-Behavior Sequential Transformer Recommender
Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu and Ruiming Tang - 10:15 - (FP) Determinantal Point Process Likelihoods for Sequential Recommendation
Yuli Liu, Christian Walder and Lexing Xie
July 14, 9:00-10:30 - Multimedia IR
Room: «Sala María Zambrano», Floor: 5
Julián Urbano
- 9:00 - (FP) Learn from Unlabeled Videos for Near-duplicate Video Retrieval
Xiangteng He, Yulin Pan, Mingqian Tang, Yiliang Lv and Yuxin Peng - 9:15 - (FP) Progressive Learning for Image Retrieval with Hybrid-Modality Queries
Yida Zhao, Yuqing Song and Qin Jin - 9:30 - (FP) You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos
Xin Sun, Xuan Wang, Jialin Gao, Qiong Liu and Xi Zhou - 9:45 - (FP) Video Moment Retrieval from Text Queries via Single Frame Annotation
Ran Cui, Tianwen Qian, Pai Peng, Elena Daskalaki, Jingjing Chen, Xiaowei Guo, Huyang Sun and Yu-Gang Jiang
July 14, 9:00-10:30 - Recommender Systems 3
Room: «Sala de Columnas», Floor: 4
Ludovico Boratto
- 9:00 - (FP) Less is More: Reweighting Important Spectral Graph Features for Recommendation
Shaowen Peng, Kazunari Sugiyama and Tsunenori Mine - 9:15 - (FP) Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui and Quoc Viet Hung Nguyen - 9:30 - (FP) User-Aware Multi-Interest Learning for Candidate Matching in Recommenders
Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen and Haihong Tang - 9:45 - (FP) Multi-Level Interaction Reranking with User Behavior History
Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Rui Zhang, Weinan Zhang and Yong Yu - 10:00 - (FP) Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective
Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou and Zhaochun Ren - 10:15 - (FP) Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu and Xin Cao
July 14, 9:00-10:30 - Search and Ranking 2
Room: «Teatro Francisco de Rojas», Floor: 2
Guido Zuccon
- 9:00 - (FP) H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search
Xiaokai Chu, Jiashu Zhao, Lixin Zou and Dawei Yin - 9:15 - (FP) Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking
Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu and Dawei Yin - 9:30 - (FP) Webformer: Pre-training with Web Pages for Information Retrieval
Yu Guo , Zhengyi Ma, Jiaxin Mao, Hongjin Qian, Xinyu Zhang, Hao Jiang, Zhao Cao and Zhicheng Dou - 9:45 - (FP) Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao and Xing Xie - 10:00 - (FP) Automatic Expert Selection for Multi-Scenario and Multi-Task Search
Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li and Aixin Sun - 10:15 - (TOIS) Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization
Jiashu Zhao, Jimmy Huang, Hongbo Deng, Yi Chang and Long Xia
July 14, 10:30-11:00 - Coffe break (morning)
July 14, 11:00-12:30 - IR Models
Room: «Sala de Columnas», Floor: 4
Jaap Kamps
- 11:00 - (FP) Structure and Semantics Preserving Document Representations
Natraj Raman, Sameena Shah and Manuela Veloso - 11:15 - (FP) Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion
Adam Block, Rahul Kidambi, Daniel Hill, Thorsten Joachims and Inderjit Dhillon - 11:30 - (FP) Risk-Sensitive Deep Neural Learning to Rank
Pedro Henrique Silva Rodrigues, Daniel Xavier Sousa, Thierson Couto Rosa and Marcos Andre Goncalves - 11:45 - (FP) LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen and Xueqi Cheng - 12:00 - (FP) Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan and Xueqi Cheng - 12:15 - (TOIS) Topic Difficulty: Collection and Query Formulation Effects
Shane Culpepper, Guglielmo Faggioli, Nicola Ferro and Oren Kurland
July 14, 11:00-12:30 - Domain-specific IR 2
Room: «Sala María Zambrano», Floor: 5
Suzan Verberne
- 11:00 - (FP) Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing
Hanshuang Tong, Zhen Wang, Qi Liu, Yun Zhou, Shiwei Tong and Wenyuan Han - 11:15 - (FP) Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search
Yixiao Ma, Qingyao Ai, Yueyue Wu, Yunqiu Shao, Yiqun Liu, Min Zhang and Shaoping Ma - 11:30 - (FP) MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou and Xiaolin Zheng - 11:45 - (FP) Few-shot Node Classification on Attributed Networks with Graph Meta-learning
Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng and Renchu Guan - 12:00 - (FP) Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning
Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh and Xiaojun Chang - 12:15 - (FP) Recognizing Medical Search Query Intent by Few-shot Learning
Yaqing Wang, Song Wang, Li Yanyan and Dejing Dou
July 14, 11:00-12:30 - Explainable Search and Recommendation
Room: «Teatro Francisco de Rojas», Floor: 2
Norbert Fuhr
- 11:00 - (FP) Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
Giacomo Balloccu, Ludovico Boratto, Mirko Marras and Gianni Fenu - 11:15 - (FP) Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction
Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu and Ji-Rong Wen - 11:30 - (FP) Towards Explainable Search Results: A Listwise Explanation Generator
Puxuan Yu, Razieh Rahimi and James Allan - 11:45 - (FP) Explainable Fairness in Recommendation
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li and Yongfeng Zhang - 12:00 - (FP) PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation.
Zefeng Cai and Zerui Cai - 12:15 - (TOIS) An Unsupervised Aspect-aware Recommendation Model with Explanation Text Generation
Peijie Sun, Le Wu, Kun Zhang, Yu Su, Meng Wang
July 14, 11:00-12:30 - Fairness in IR
Room: «Sala Gómez de la Serna», Floor: 5
Mark Sanderson
- 11:00 - (FP) Joint Multisided Exposure Fairness for Recommendation
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz and Xue Liu - 11:15 - (FP) Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
Ali Vardasbi, Fatemeh Sarvi and Maarten de Rijke - 11:30 - (FP) Measuring Fairness in Ranked Results: An Analytical and Empirical Comparison
Amifa Raj and Michael Ekstrand - 11:45 - (FP) Optimizing Generalized Gini Indices for Fairness in Rankings
Virginie Do and Nicolas Usunier - 12:00 - (FP) Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model
Till Kletti, Jean-Michel Renders and Patrick Loiseau - 12:15 - (FP) Fairness of Exposure in Light of Incomplete Exposure Estimation
Maria Heuss, Fatemeh Sarvi and Maarten de Rijke
July 14, 12:30-13:00 - Lunch
July 14, 12:45-14:15 - Business meeting
Room: «Sala de Columnas», Floor: 4
July 14, 14:30-15:30 - Keynote - Ruhi Sarikaya
Room: «Teatro Francisco de Rojas», Floor: 2 . Overflow room: «Sala de Columnas»
Gabriella Kazai
- (KEYNOTE) Intelligent Conversational Agents for Ambient Computing
Ruhi Sarikaya (Director, Alexa Intelligent Decisions organization, Amazon)
July 14, 15:30-16:00 - Coffe break (afternoon)
July 14, 16:00-17:35 - SIRIP Session 7: Tech Section 3 - E-Commerce and Services
Room: «Cine», Floor: -1
- 16:00 - (SIRIP) Unsupervised Product Offering Title Quality Scores
Henry Vieira (Magalu Labs, Brazil) - 16:15 - (SIRIP) A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example
Xiangyu Xi, Wei Ye (Peking University, China), Chenxu Lv, Yuncheng Hua, Chaobo Sun, Shuaipeng Liu, Fan Yang and Guanglu Wan (Meituan, China) - 16:30 - (SIRIP) An Intelligent Advertisement Short Video Production System via Multi-Modal Retrieval
Yanheng Wei and Yanhao Zhang (Alibaba Group, China) - 16:45 - (SIRIP) An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios
Zhaoxin Huan, Gong-Duo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu and Linjian Mo (Antgroup, China) - 17:00 - (SIRIP) Scalable User Interface Optimization Using Combinatorial Bandits
Ioannis Kangas, Maud Schwoerer and Lucas Bernardi (Booking.com, Netherlands)
July 14, 16:00-17:30 - Panel
Room: «Teatro Francisco de Rojas», Floor: 2
- (PANEL) Search, Recommendation and infodemics: spreading misinformation versus editorializing the truth
Laura Dietz (moderator), Shiri Dori-Hacohen, Maarten de Rijke, Joan Donovan, Tarleton Gillespie, Ellen Voorhees and Arkaitz Zubiaga
July 14, 17:30-18:00 - Closing Session
Room: «Teatro Francisco de Rojas», Floor: 2 . Overflow room: «Sala de Columnas»
July 15
July 15, 9:00-17:00 - Full Day Workshops
- (WORKSHOP) 3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech)
Room: «Sala Antonio Palacios», Floor: 4
Ralf Krestel (HPI Potsdam), Hidir Aras (FIZ Karlsruhe), Allan Hanbury (TU Wien), Linda Andersson (Artificial Researcher), Florina Piroi (Data Science Studio), Dean Alderucci (CMU) - (WORKSHOP) 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR)
Room: «Sala de Columnas», Floor: 4
Sebastian Bruch (Pinecone), Claudio Lucchese (Università Ca’ Foscari di Venezia), Franco Maria Nardini (ISTI-CNR) - (WORKSHOP) 7th Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI)
Room: «Sala Gómez de la Serna», Floor: 5
Svitlana Vakulenko (Amazon Alexa AI), Ondrej Dusek (Charles University), Leigh Clark (Swansea University), Gustavo Penha (Delft University of Technology), Vaishali Pal (University of Amsterdam), Vaibhav Adlakha (McGill University) - (WORKSHOP) 10th Workshop on News Recommendation and Analytics (INRA)
Room: «Sala María Moliner», Floor: 5
Özlem Özgöbek (Associate Professor, NTNU) Andreas Lommatzsch (PostDoc, DAI Lab, TU Berlin), Benjamin Kille (PostDoc, NorwAI, NTNU), Peng Liu (PostDoc, NorwAI, NTNU), Edward C. Malthouse (Professor, Northwestern University) and Jon Atle Gulla (Professor, NorwAI, NTNU) - (WORKSHOP) 6th Workshop on eCommerce (ECOM)
Room: «Sala María Zambrano», Floor: 5
Ajinkya Kale (Adobe), Surya Kallumadi (Lowe’s), Tracy Holloway King (Adobe), Shervin Malmasi (Amazon), Maarten de Rijke (University of Amsterdam), Jacopo Tagliabue (Coveo)
July 15, 9:00-12:30 - Half Day Workshops (Morning)
Room: «Sale Valle Inclán», Floor: 5
- (WORKSHOP) 3rd Workshop on Deep Reinforcement Learning for Information Retrieval (DRL4IR)
Room: «Cine», Floor: -1
Xiangyu Zhao (City University of Hong Kong), Xin Xin (Shandong University), Weinan Zhang (Shanghai Jiao Tong University), Li Zhao (Microsoft Research Asia), Dawei Yin (Baidu), Grace Hui Yang (Georgetown University) - (WORKSHOP) 1st Workshop on Measuring the Quality of Explanations in Recommender Systems (QUARE)
Alessandro Piscopo (BBC), Oana Inel (University of Zurich), Sanne Vrijenhoek (University of Amsterdam), Martijn Millecamp (AE) and Krisztian Balog (Google)
July 15, 10:30-11:00 - Coffe break (morning)
July 15, 12:30-13:30 - Lunch
July 15, 13:30-17:00 - Half Day Workshops (Evening)
Room: «Sale Valle Inclán», Floor: 5
- (WORKSHOP) 3rd International Workshop on Investigating Learning During Web Search (IWILDS)
Anett Hoppe (Leibniz Information Centre for Science & Technology), Jiqun Liu (University of Oklahoma), Ran Yu (University of Bonn)