{"id":1982,"date":"2023-06-06T02:51:34","date_gmt":"2023-06-06T02:51:34","guid":{"rendered":"https:\/\/sigir.org\/sigir2023\/?page_id=1982"},"modified":"2023-06-16T08:21:13","modified_gmt":"2023-06-16T08:21:13","slug":"full-papers","status":"publish","type":"page","link":"https:\/\/sigir.org\/sigir2023\/program\/accepted-papers\/full-papers\/","title":{"rendered":"Full papers"},"content":{"rendered":"<div id='full_slider_1'  class='avia-fullwidth-slider main_color avia-shadow   avia-builder-el-0  el_before_av_section  avia-builder-el-first   container_wrap sidebar_right'  >\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522\">\n#top #wrap_all .avia-slideshow .av-slideshow-caption.av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522__0 .avia-caption-title{\nfont-size:45px;\n}\n#top .avia-slideshow .av-slideshow-caption.av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522__0 .avia-caption-content{\nfont-size:25px;\n}\n#top 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class=\"container caption_container\"><div class=\"slideshow_caption\"><div class=\"slideshow_inner_caption\"><div class=\"slideshow_align_caption\"><h2 class='avia-caption-title '  itemprop=\"name\" >Full papers<\/h2><\/div><\/div><\/div><\/div><\/div><img decoding=\"async\" class=\"wp-image-1803 avia-img-lazy-loading-not-1803\"  src=\"https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711.jpg\" width=\"1920\" height=\"731\" title='\u967d\u660e\u5c711' alt=''  itemprop=\"thumbnailUrl\"  style='min-height:200px; min-width:526px; ' srcset=\"https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711.jpg 1920w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-300x114.jpg 300w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-1030x392.jpg 1030w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-768x292.jpg 768w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-1536x585.jpg 1536w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-1500x571.jpg 1500w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-705x268.jpg 705w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-845x321.jpg 845w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" \/><div class='av-section-color-overlay' style='opacity: 0.3; background-color: #000000; '><\/div><\/div><\/li><\/ul><\/div><\/div>\n<div id='av_section_1'  class='avia-section av-5lyajc-3134daf831fbcef5bc794ceffe33e473 main_color avia-section-default avia-no-border-styling  avia-builder-el-1  el_after_av_slideshow_full  avia-builder-el-last  avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-1982'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-a0jsj-29b790c6784190c922b8c762aefb1221\">\n.flex_column.av-a0jsj-29b790c6784190c922b8c762aefb1221{\npadding:0 40px 0 40px;\n}\n<\/style>\n<div class='flex_column av-a0jsj-29b790c6784190c922b8c762aefb1221 av_one_full  avia-builder-el-2  avia-builder-el-no-sibling  first flex_column_div '   ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lhe77hc3-364024c23e9a46735457c9f58a6dca89\">\n#top .hr.hr-invisible.av-lhe77hc3-364024c23e9a46735457c9f58a6dca89{\nmargin-top:-10px;\nheight:1px;\n}\n<\/style>\n<div  class='hr av-lhe77hc3-364024c23e9a46735457c9f58a6dca89 hr-invisible  avia-builder-el-3  el_before_av_textblock  avia-builder-el-first  av-small-hide av-mini-hide'><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div><br \/>\n<section  class='av_textblock_section av-p5s2ab-a915d3aefa4550e5cedcf5cee10cd55f'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock text_justify'  itemprop=\"text\" ><p><strong>\u25cf A Critical Reexamination of Intra-List Distance and Dispersion<\/strong><br \/>\nNaoto Ohsaka, Riku Togashi<\/p>\n<p><strong>\u25cf A Generic Learning Framework for Sequential Recommendation with Distribution Shifts<\/strong><br \/>\nZhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang<\/p>\n<p><strong>\u25cf A Geometric Framework for Query Performance Prediction in Conversational Search<\/strong><br \/>\nGuglielmo Faggioli, Nicola Ferro, Cristina Muntean, Raffaele Perego, Nicola Tonellotto<\/p>\n<p><strong>\u25cf A Personalized Dense Retrieval Framework for Unified Information Access<\/strong><br \/>\nHansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Nogueira, Hamed Zamani<\/p>\n<p><strong>\u25cf A Preference Learning Decoupling Framework for User Cold-Start Recommendation<\/strong><br \/>\nChunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang<\/p>\n<p><strong>\u25cf A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services<\/strong><br \/>\nWalid Bendada, Guillaume Salha-Galvan, Thomas Bouab\u00e7a, Tristan Cazenave<\/p>\n<p><strong>\u25cf A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering<\/strong><br \/>\nAlireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani<\/p>\n<p><strong>\u25cf A Topic-aware Summarization Framework with Different Modal Side Information<\/strong><br \/>\nXiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang<\/p>\n<p><strong>\u25cf A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning<\/strong><br \/>\nJiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten De Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng<\/p>\n<p><strong>\u25cf AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering<\/strong><br \/>\nGuanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang<\/p>\n<p><strong>\u25cf Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization<\/strong><br \/>\nDengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie<\/p>\n<p><strong>\u25cf Adaptive Graph Representation Learning for Next POI Recommendation<\/strong><br \/>\nZhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu<\/p>\n<p><strong>\u25cf Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering<\/strong><br \/>\nHuachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang<\/p>\n<p><strong>\u25cf Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation<\/strong><br \/>\nChongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He<\/p>\n<p><strong>\u25cf An Effective Framework for Enhancing Query Answering in a Heterogeneous Data Lake<\/strong><br \/>\nQin Yuan, Ye Yuan, Zhenyu Wen, He Wang, Shiyuan Tang<\/p>\n<p><strong>\u25cf An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification<\/strong><br \/>\nWashington Cunha, Celso Fran\u00e7a, Guilherme Fonseca, Leonardo Rocha, Marcos Andr\u00e9 Gon\u00e7alves<\/p>\n<p><strong>\u25cf An Offline Metric for the Debiasedness of Click Models<\/strong><br \/>\nRomain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten De Rijke<\/p>\n<p><strong>\u25cf Asymmetric Hashing for Fast Ranking via Neural Network Measures<\/strong><br \/>\nKhoa Doan, Shulong Tan, Weijie Zhao, Ping Li<\/p>\n<p><strong>\u25cf Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting<\/strong><br \/>\nZhihao Wen, Yuan Fang<\/p>\n<p><strong>\u25cf Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning<\/strong><br \/>\nYi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong<\/p>\n<p><strong>\u25cf Beyond Two-Tower Matching: Learning Sparse Retrievable Interaction Models for Recommendation<\/strong><br \/>\nLiangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang<\/p>\n<p><strong>\u25cf BLADE: Combining Vocabulary Pruning and Intermediate Pretraining for Scaleable Neural CLIR<\/strong><br \/>\nSuraj Nair, Eugene Yang, Dawn Lawrie, James Mayfield, Douglas W. Oard<\/p>\n<p><strong>\u25cf Blurring-Sharpening Process Models for Collaborative Filtering<\/strong><br \/>\nJeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho<\/p>\n<p><strong>\u25cf BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts<\/strong><br \/>\nYuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo<\/p>\n<p><strong>\u25cf Candidate\u2013aware Graph Contrastive Learning for Recommendation<\/strong><br \/>\nWei He, Guohao Sun, Jinhu Lu, Xiu Susie Fang<\/p>\n<p><strong>\u25cf Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning<\/strong><br \/>\nSiyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao<\/p>\n<p><strong>\u25cf Collaborative Residual Metric Learning<\/strong><br \/>\nTianjun Wei, Jianghong Ma, Tommy W.S. Chow<\/p>\n<p><strong>\u25cf Cone: Unsupervised Contrastive Opinion Extraction<\/strong><br \/>\nRuncong Zhao, Lin Gui, Yulan He<\/p>\n<p><strong>\u25cf Constructing Tree-based Index for Efficient and Effective Dense Retrieval<\/strong><br \/>\nHaitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao<\/p>\n<p><strong>\u25cf Continual Learning on Dynamic Graphs via Parameter Isolation<\/strong><br \/>\nPeiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim<\/p>\n<p><strong>\u25cf Continuous Input Embedding Size Search For Recommender Systems<\/strong><br \/>\nYunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin<\/p>\n<p><strong>\u25cf Contrastive Box Embedding for Collaborative Reasoning<\/strong><br \/>\nTingting Liang, Yuanqing Zhang, Qianhui Di, Congying Xia, Youhuizi Li, Yuyu Yin<\/p>\n<p><strong>\u25cf Contrastive Learning for Signed Bipartite Graphs<\/strong><br \/>\nZeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang<\/p>\n<p><strong>\u25cf Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems<\/strong><br \/>\nZhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon Jose, Xin Xin<\/p>\n<p><strong>\u25cf Creating a Silver Standard for Patent Simplification<\/strong><br \/>\nSilvia Casola, Alberto Lavelli, Horacio Saggion<\/p>\n<p><strong>\u25cf Cross-Market Product-Related Question Answering<\/strong><br \/>\nNegin Ghasemi, Mohammad Aliannejadi, Hamed Bonab, Evangelos Kanoulas, Arjen P. De Vries, James Allan, Djoerd Hiemstra<\/p>\n<p><strong>\u25cf Curse of &#8220;Low&#8221; Dimensionality in Recommender Systems<\/strong><br \/>\nNaoto Ohsaka, Riku Togashi<\/p>\n<p><strong>\u25cf Data-Aware Proxy Hashing for Cross-modal Retrieval<\/strong><br \/>\nRong-Cheng Tu, Xian-Ling Mao, Wenjin Ji, Wei Wei, Heyan Huang<\/p>\n<p><strong>\u25cf Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English<\/strong><br \/>\nShucheng Li, Boyu Chang, Bo Yang, Hao Wu, Sheng Zhong, Fengyuan Xu<\/p>\n<p><strong>\u25cf Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition<\/strong><br \/>\nJingyun Xu, Yi Cai<\/p>\n<p><strong>\u25cf Diffusion Recommender Model<\/strong><br \/>\nWenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua<\/p>\n<p><strong>\u25cf DisCover: Disentangled Music Representation Learning for Cover Song Identification<\/strong><br \/>\nJiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu<\/p>\n<p><strong>\u25cf Disentangled Contrastive Collaborative Filtering<\/strong><br \/>\nXubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang<\/p>\n<p><strong>\u25cf Distillation-Enhanced Graph Masked Autoencoders for Bundle Recommendation<\/strong><br \/>\nYuyang Ren, Zhang Haonan, Luoyi Fu, Xinbing Wang, Chenghu Zhou<\/p>\n<p><strong>\u25cf Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models<\/strong><br \/>\nNa Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert<\/p>\n<p><strong>\u25cf Distributionally Robust Sequential Recommnedation<\/strong><br \/>\nRui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen<\/p>\n<p><strong>\u25cf DMBIN: A Dual Multi-behavior Interest Network for Click-Through Rate Prediction via Contrastive Learning<\/strong><br \/>\nTianqi He, Kaiyuan Li, Shan Chen, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang<\/p>\n<p><strong>\u25cf Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models<\/strong><br \/>\nJiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen<\/p>\n<p><strong>\u25cf DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning<\/strong><br \/>\nShangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao<\/p>\n<p><strong>\u25cf Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation<\/strong><br \/>\nChengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao<\/p>\n<p><strong>\u25cf Dual Semantic Knowledge Composed Multimodal Dialog Systems<\/strong><br \/>\nXiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua<\/p>\n<p><strong>\u25cf Dynamic Graph Evolution Learning for Recommendation<\/strong><br \/>\nHaoran Tang, Shiqing Wu, Guandong Xu, Qing Li<\/p>\n<p><strong>\u25cf Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks<\/strong><br \/>\nGa\u00ebl Poux-M\u00e9dard, Julien Velcin, Sabine Loudcher<\/p>\n<p><strong>\u25cf EDIndex: Enabling Fast Data Queries in Edge Storage Systems<\/strong><br \/>\nQiang He, Siyu Tan, Feifei Chen, Xiaolong Xu, Lianyong Qi, Xinhong Hei, Hai Jin, Yun Yang<\/p>\n<p><strong>\u25cf Editable User Profiles for Controllable Text Recommendations<\/strong><br \/>\nSheshera Mysore, Mahmood Jasim, Andrew Mccallum, Hamed Zamani<\/p>\n<p><strong>\u25cf EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation<\/strong><br \/>\nXinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu<\/p>\n<p><strong>\u25cf Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation<\/strong><br \/>\nHanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng<\/p>\n<p><strong>\u25cf ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming Assignments<\/strong><br \/>\nSiqi Han, Yu Wang, Xuesong Lu<\/p>\n<p><strong>\u25cf EulerNet: Adaptive Feature Interaction Learning via Euler&#8217;s Formula for CTR Prediction<\/strong><br \/>\nZhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao<\/p>\n<p><strong>\u25cf Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks<\/strong><br \/>\nPhilipp Christmann, Rishiraj Saha Roy, Gerhard Weikum<\/p>\n<p><strong>\u25cf Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond<\/strong><br \/>\nPaul Owoicho, Ivan Sekulic, Mohammad Aliannejadi, Jeffery Dalton, Fabio Crestani<\/p>\n<p><strong>\u25cf Exploring scenarios of uncertainty about the users&#8217; preferences in interactive recommendation systems<\/strong><br \/>\nN\u00edcollas Silva, Thiago Silva, Henrique Hott, Yan Ribeiro, Adriano Pereira, Leonardo Rocha<\/p>\n<p><strong>\u25cf Extending Label Aggregation Models with a Gaussian Process to Denoise Crowdsourcing Labels<\/strong><br \/>\nDan Li, Maarten de Rijke<\/p>\n<p><strong>\u25cf BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information<\/strong><br \/>\nJiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai<\/p>\n<p><strong>\u25cf FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation<\/strong><br \/>\nSebastian Hofst\u00e4tter, Jiecao Chen, Karthik Raman, Hamed Zamani<\/p>\n<p><strong>\u25cf Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity<\/strong><br \/>\nXiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu<\/p>\n<p><strong>\u25cf Frequency Enhanced Hybrid Attention Network for Sequential Recommendation<\/strong><br \/>\nXinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng<\/p>\n<p><strong>\u25cf From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval<\/strong><br \/>\nJianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu<\/p>\n<p><strong>\u25cf Generative-Contrastive Graph Learning for Recommendation<\/strong><br \/>\nYonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang<\/p>\n<p><strong>\u25cf Graph Masked Autoencoder for Sequential Recommendation<\/strong><br \/>\nYaowen Ye, Lianghao Xia, Chao Huang<\/p>\n<p><strong>\u25cf HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation<\/strong><br \/>\nShicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu<\/p>\n<p><strong>\u25cf Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments<\/strong><br \/>\nNirmal Roy, Agathe Balayn, David Maxwell, Claudia Hauff<\/p>\n<p><strong>\u25cf Unsupervised Readability Assessment via Learning from Weak Readability Signals<\/strong><br \/>\nYuliang Liu, Zhiwei Jiang, Yafeng Yin, Cong Wang, Sheng Chen, Zhaoling Chen, Qing Gu<\/p>\n<p><strong>\u25cf Hydrus: Improving Personalized Quality of Experience in Short-form Video Services<\/strong><br \/>\nZhiyu Yuan, Kai Ren, Gang Wang, Xin Miao<\/p>\n<p><strong>\u25cf Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment<\/strong><br \/>\nXin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon Jose, Maarten De Rijke, Zhaochun Ren<\/p>\n<p><strong>\u25cf BeamQA: Multi-hop Knowledge Graph Question Answering with Sequence-to-Sequence Prediction and Beam Search<\/strong><br \/>\nFarah Atif, Ola El Khatib, Djellel Difallah<\/p>\n<p><strong>\u25cf InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification<\/strong><br \/>\nSiddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta, Akash Palrecha, Rohit Babbar<\/p>\n<p><strong>\u25cf Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction<\/strong><br \/>\nZhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou<\/p>\n<p><strong>\u25cf AutoTransfer: Instance Transfer for Cross-Domain Recommendations<\/strong><br \/>\nJingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang<\/p>\n<p><strong>\u25cf Intent-aware Ranking Ensemble for Personalized Recommendation<\/strong><br \/>\nJiayu Li, Peijie Sun, Zhefan Wang, Weizhi Ma, Yangkun Li, Min Zhang, Zhoutian Feng, Daiyue Xue<\/p>\n<p><strong>\u25cf Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?<\/strong><br \/>\nShuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon<\/p>\n<p><strong>\u25cf It&#8217;s Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation<\/strong><br \/>\nJaewan Moon, Hye-young Kim, Jongwuk Lee<\/p>\n<p><strong>\u25cf Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer<\/strong><br \/>\nMinyi Zhao, Jinpeng Wang, Dongliang Liao, Yiru Wang, Huanzhong Duan, Shuigeng Zhou<\/p>\n<p><strong>\u25cf Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation<\/strong><br \/>\nQian Chen, Zhiqiang Guo, Jianjun Li, Guohui Li<\/p>\n<p><strong>\u25cf Knowledge-refined Denoising Network for Robust Recommendation<\/strong><br \/>\nXinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao<\/p>\n<p><strong>\u25cf Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning<\/strong><br \/>\nYunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li<\/p>\n<p><strong>\u25cf Law Article-Enhanced Legal Case Matching: A Causal Learning Approach<\/strong><br \/>\nZhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen<\/p>\n<p><strong>\u25cf Leader-Generator Net: Dividing Skill and Implicitness for Conquering FairytaleQA<\/strong><br \/>\nWei Peng, Wanshui Li, Yue Hu<\/p>\n<p><strong>\u25cf Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning<\/strong><br \/>\nKe Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu<\/p>\n<p><strong>\u25cf Learnable Pillar-based Re-ranking for Image-Text Retrieval<\/strong><br \/>\nLeigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua<\/p>\n<p><strong>\u25cf Learning Fine-grained User Interests for Micro-video Recommendation<\/strong><br \/>\nYu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li<\/p>\n<p><strong>\u25cf Learning to Re-rank with Constrained Meta-Optimal Transport<\/strong><br \/>\nAndr\u00e9s Hoyos-Idrobo<\/p>\n<p><strong>\u25cf Lexically-Accelerated Dense Retrieval<\/strong><br \/>\nHrishikesh Kulkarni, Sean Macavaney, Nazli Goharian, Ophir Frieder<\/p>\n<p><strong>\u25cf LightGT: A Light Graph Transformer for Multimedia Recommendation<\/strong><br \/>\nYinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua<\/p>\n<p><strong>\u25cf LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems<\/strong><br \/>\nLangming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li<\/p>\n<p><strong>\u25cf LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup<\/strong><br \/>\nHeeyoon Yang, YunSeok Choi, Gahyung Kim, Jee-Hyong Lee<\/p>\n<p><strong>\u25cf M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation<\/strong><br \/>\nZhenchao Wu, Xiao Zhou<\/p>\n<p><strong>\u25cf M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation<\/strong><br \/>\nZepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu<\/p>\n<p><strong>\u25cf MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling<\/strong><br \/>\nZijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu<\/p>\n<p><strong>\u25cf Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures<\/strong><br \/>\nWei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin<\/p>\n<p><strong>\u25cf Graph Transformer for Recommendation<\/strong><br \/>\nChaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang<\/p>\n<p><strong>\u25cf Measuring Item Global Residual Value for Fair Recommendation<\/strong><br \/>\nJiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang<\/p>\n<p><strong>\u25cf MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation<\/strong><br \/>\nKibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park<\/p>\n<p><strong>\u25cf MEME:Multi-Encoder Multi-Expert Framework with Data Augmentation for Video Retrieval<\/strong><br \/>\nSeong-Min Kang, Yoon-Sik Cho<\/p>\n<p><strong>\u25cf Meta-optimized Contrastive Learning for Sequential Recommendation<\/strong><br \/>\nXiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor Sheng<\/p>\n<p><strong>\u25cf MGeo: Multi-Modal Geographic Language Model Pre-Training<\/strong><br \/>\nRuixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu<\/p>\n<p><strong>\u25cf Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation<\/strong><br \/>\nJinghao Zhang, Qiang Liu, Shu Wu, Liang Wang<\/p>\n<p><strong>\u25cf Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation<\/strong><br \/>\nJihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong<\/p>\n<p><strong>\u25cf ML-LJP: Multi-Law Aware Legal Judgment Prediction<\/strong><br \/>\nYifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang<\/p>\n<p><strong>\u25cf Aligning Distillation For Cold-start Item Recommendation<\/strong><br \/>\nFeiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen<\/p>\n<p><strong>\u25cf Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation<\/strong><br \/>\nJing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin<\/p>\n<p><strong>\u25cf Multi-behavior Self-supervised Learning for Recommendation<\/strong><br \/>\nJingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai<\/p>\n<p><strong>\u25cf Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector Space<\/strong><br \/>\nWei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Jing Wang, Hao Yang, Shimin Tao<\/p>\n<p><strong>\u25cf Multi-Scenario Ranking with Adaptive Feature Learning<\/strong><br \/>\nYu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li<\/p>\n<p><strong>\u25cf Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation<\/strong><br \/>\nSen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu<\/p>\n<p><strong>\u25cf Multi-View Multi-Aspect Neural Networks for Next-Basket Recommendation<\/strong><br \/>\nZhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui Li<\/p>\n<p><strong>\u25cf Multimodal Counterfactual Learning Network for Multimedia-based Recommendation<\/strong><br \/>\nShuaiyang Li, Dan Guo, Kang Liu, Richang Hong, Feng Xue<\/p>\n<p><strong>\u25cf Multivariate Representation Learning for Information Retrieval<\/strong><br \/>\nHamed Zamani, Michael Bendersky<\/p>\n<p><strong>\u25cf News Popularity Beyond the Click-Through-Rate for Personalized Recommendations<\/strong><br \/>\nAshutosh Nayak, Mayur Garg, Rajasekhara Reddy Duvvuru Muni<\/p>\n<p><strong>\u25cf Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network<\/strong><br \/>\nRan Li, Liang Zhang, Guannan Liu, Junjie Wu<\/p>\n<p><strong>\u25cf Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion<\/strong><br \/>\nLinhao Luo, Reza Haffari, Yuan Fang Li, Shirui Pan<\/p>\n<p><strong>\u25cf Not Just Skipping: Understanding the Effect of Sponsored Content on Users&#8217; Decision-Making in Online Health Search<\/strong><br \/>\nAnat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus<\/p>\n<p><strong>\u25cf On the Impact of Outlier Bias on User Clicks<\/strong><br \/>\nFatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten De Rijke<\/p>\n<p><strong>\u25cf One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search<\/strong><br \/>\nWei Zhong, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin<\/p>\n<p><strong>\u25cf Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising<\/strong><br \/>\nQiming Liu, Haoming Li, Xiang Ao, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong, Qing He<\/p>\n<p><strong>\u25cf Personalized Federated Relation Classification over Heterogeneous Texts<\/strong><br \/>\nNing Pang, Xiang Zhao, Weixin Zeng, Ji Wang, Weidong Xiao<\/p>\n<p><strong>\u25cf Personalized Retrieval over Millions of Items<\/strong><br \/>\nHemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma<\/p>\n<p><strong>\u25cf PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations<\/strong><br \/>\nYuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang<\/p>\n<p><strong>\u25cf Poisoning Self-supervised Learning Based Sequential Recommendations<\/strong><br \/>\nYanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li<\/p>\n<p><strong>\u25cf Prompt Learning for News Recommendation<\/strong><br \/>\nZizhuo Zhang, Bang Wang<\/p>\n<p><strong>\u25cf RCENR: A Reinforced and Contrastive Heterogeneous Network Reasoning Model for Explainable News Recommendation<\/strong><br \/>\nHao Jiang, Chuanzhen Li, Juanjuan Cai, Jingling Wang<\/p>\n<p><strong>\u25cf Rectifying Unfairness in Recommendation Feedback Loop<\/strong><br \/>\nMengyue Yang, Jun Wang, Jean-Francois Ton<\/p>\n<p><strong>\u25cf Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation<\/strong><br \/>\nYang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang<\/p>\n<p><strong>\u25cf Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling<\/strong><br \/>\nBin Shang, Yinliang Zhao, Di Wang, Jun Liu<\/p>\n<p><strong>\u25cf Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition<\/strong><br \/>\nXinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu<\/p>\n<p><strong>\u25cf Rethinking Benchmarks for Cross-modal Image-text Retrieval<\/strong><br \/>\nWeijing Chen, Linli Yao, Qin Jin<\/p>\n<p><strong>\u25cf RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion<\/strong><br \/>\nBolong Zheng, Lei Bi, Ruijie Xi, Lu Chen, Yunjun Gao, Xiaofang Zhou, Christian Jensen<\/p>\n<p><strong>\u25cf Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization<\/strong><br \/>\nShashank Gupta, Harrie Oosterhuis, Maarten de Rijke<\/p>\n<p><strong>\u25cf SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval<\/strong><br \/>\nHaitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian<\/p>\n<p><strong>\u25cf SCHash: Speedy Simplicial Complex Neural Networks via Randomized Hashing<\/strong><br \/>\nXuan Tan, Wei Wu, Chuan Luo<\/p>\n<p><strong>\u25cf Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction<\/strong><br \/>\nYunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen<\/p>\n<p><strong>\u25cf SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information<\/strong><br \/>\nFang Guo, Yun Luo, Linyi Yang, Yue Zhang<\/p>\n<p><strong>\u25cf Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph<\/strong><br \/>\nChenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong<\/p>\n<p><strong>\u25cf Session Search with Pre-trained Graph Classification Model<\/strong><br \/>\nShengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian, Xuhui Jiang<\/p>\n<p><strong>\u25cf Single-shot Feature Selection for Multi-task Recommendations<\/strong><br \/>\nYejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong<\/p>\n<p><strong>\u25cf Smooth Operators for Effective Systematic Review Queries<\/strong><br \/>\nHarrisen Scells, Ferdinand Schlatt, Martin Potthast<\/p>\n<p><strong>\u25cf Soft Prompt Decoding for Multilingual Dense Retrieval<\/strong><br \/>\nZhiqi Huang, Hansi Zeng, Hamed Zamani, James Allan<\/p>\n<p><strong>\u25cf Spatio-Temporal Hypergraph Learning for Next POI Recommendation<\/strong><br \/>\nXiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, Wei Chu<\/p>\n<p><strong>\u25cf Strategy-aware Bundle Recommender System<\/strong><br \/>\nYinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua<\/p>\n<p><strong>\u25cf StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios<\/strong><br \/>\nJiasheng Zhang, Jie Shao, Bin Cui<\/p>\n<p><strong>\u25cf Subgraph Search over Neural-Symbolic Graphs<\/strong><br \/>\nYe Yuan, Delong Ma, Anbiao Wu, Jianbin Qin<\/p>\n<p><strong>\u25cf Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis<\/strong><br \/>\nWeibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang<\/p>\n<p><strong>\u25cf Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs<\/strong><br \/>\nZiwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen<\/p>\n<p><strong>\u25cf Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation<\/strong><br \/>\nJie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang<\/p>\n<p><strong>\u25cf Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models<\/strong><br \/>\nYu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten De Rijke, Wei Chen, Yixing Fan, Xueqi Cheng<\/p>\n<p><strong>\u25cf Towards Multi-Interest Pre-training with Sparse Capsule Network<\/strong><br \/>\nZuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li<\/p>\n<p><strong>\u25cf Triple Structural Information Modelling for Accurate, Explainable and Interactive<\/strong> Recommendation<br \/>\nJiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu<\/p>\n<p><strong>\u25cf Uncertainty Quantification for Extreme Classification<\/strong><br \/>\nJyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu<\/p>\n<p><strong>\u25cf Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking<\/strong><br \/>\nMingchen Li, Lifu Huang<\/p>\n<p><strong>\u25cf Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding<\/strong><br \/>\nSusik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han<\/p>\n<p><strong>\u25cf Using Code Generation To Answer Simulation Questions in Chemistry Texts<\/strong><br \/>\nGal Peretz, Mousa Arraf, Kira Radinsky<\/p>\n<p><strong>\u25cf Weighted Knowledge Graph Embedding<\/strong><br \/>\nZhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu<\/p>\n<p><strong>\u25cf When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?<\/strong><br \/>\nYushun Dong, Jundong Li, Tobias Schnabel<\/p>\n<p><strong>\u25cf When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation<\/strong><br \/>\nZihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen<\/p>\n<p><strong>\u25cf Wisdom of Crowds and Fine-Grained Learning for Serendipity Recommendations<\/strong><br \/>\nZhe Fu, Xi Niu, Li Yu<\/p>\n<\/div><\/section><\/p><\/div><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_1'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-1982'><div class='entry-content-wrapper 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