SIGIR 2020 Industry Track Schedule
Session 1:
Keynote: Dr. Rong Jin (45 mins presentation + 15 mins QA)
Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang and Yong Yu. User Behavior Retrieval for Click-Through Rate Prediction 20 mins presentation + 5 mins QA
Liang Wu and Mihajlo Grbovic. How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace 20 mins presentation + 5 mins QA
Session 2:
Simon Gog, Giulio Ermanno Pibiri and Rossano Venturini. Efficient and Effective Query Auto-Completion 20 mins presentation + 5 mins QA
Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang and Wenwu Ou. ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation 20 mins presentation + 5 mins QA
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang and Liefeng Bo. Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network 20 mins presentation + 5 mins QA
Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin and Keping Yang. Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction 20 mins presentation + 5 mins QA
Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu and Jiliang Tang. Automated Embedding Size Search in Deep Recommender Systems 20 mins presentation + 5 mins QA
Session 3:
Keynote: Dr. Rosie Jones (45 mins presentation + 15 mins QA)
Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu and Wei Lu. Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise 20 mins presentation + 5 mins QA
Mengxi Wei, Yifan He and Qiong Zhang. Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models 20 mins presentation + 5 mins QA
Session 4:
Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou and Yongfeng Zhang. Understanding Echo Chambers in E-commerce Recommender Systems 20 mins presentation + 5 mins QA
Han Zhang, Songlin Wang, Kang Zhang, Zhiling Tang, Yunjiang Jiang, Yun Xiao, Paul Yan and Wen-Yun Yang. Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning 20 mins presentation + 5 mins QA
Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin and Keping Yang. GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation 20 mins presentation + 5 mins QA
Ye Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang and Jing Xiao. A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang and Xiuqiang He. Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
Session 5:
Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang and Liqing Zhang. Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments 20 mins presentation + 5 mins QA
Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Yi Wei, Yi Hu and Hao Wang. FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval 20 mins presentation + 5 mins QA
Haojie Pan, Rongqin Yang, Xin Zhou, Rui Wang, Deng Cai and Xiaozhong Liu. Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment 20 mins presentation + 5 mins QA
Zhenxin Fu, Yu Wu, Hailei Zhang, Yichuan Hu, Dongyan Zhao and Rui Yan. Be Aware of the Hot Zone: A Warning System of Hazard Area Prediction to Intervene Novel Coronavirus COVID-19 Outbreak 20 mins presentation + 5 mins QA
Session 6:
Yuanfei Luo, Hao Zhou, Weiwei Tu, Yuqiang Chen, Wenyuan Dai and Qiang Yang. Network On Network for Tabular Data Classification in Real-world Applications 20 mins presentation + 5 mins QA
Yuan Tian, Ke Zhou, Mounia Lalmas and Dan Pelleg. Identifying Tasks from Mobile App Usage Patterns 20 mins presentation + 5 mins QA
Benjamin Gutelman and Pavel Levin. Efficient image gallery representations at scale through multi-task learning 20 mins presentation + 5 mins QA
Viet Ha-Thuc, Avishek Dutta, Ren Mao, Matthew Wood and Yunli Liu. A Counterfactual Framework for Seller-Side A/B Testing on Marketplaces 20 mins presentation + 5 mins QA
Paper Categories
NPL:
Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu and Wei Lu. Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise
Mengxi Wei, Yifan He and Qiong Zhang. Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models
Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang and Liqing Zhang. Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments
Haojie Pan, Rongqin Yang, Xin Zhou, Rui Wang, Deng Cai and Xiaozhong Liu. Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment
Search/Recommendation:
Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang and Yong Yu. User Behavior Retrieval for Click-Through Rate Prediction
Liang Wu and Mihajlo Grbovic. How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace
Simon Gog, Giulio Ermanno Pibiri and Rossano Venturini. Efficient and Effective Query Auto-Completion
Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang and Wenwu Ou. ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang and Liefeng Bo. Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin and Keping Yang. Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction
Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu and Jiliang Tang. Automated Embedding Size Search in Deep Recommender Systems
Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou and Yongfeng Zhang. Understanding Echo Chambers in E-commerce Recommender Systems
Han Zhang, Songlin Wang, Kang Zhang, Zhiling Tang, Yunjiang Jiang, Yun Xiao, Paul Yan and Wen-Yun Yang. Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning
Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin and Keping Yang. GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation
Ye Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang and Jing Xiao. A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang and Xiuqiang He. Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
Data Mining:
Zhenxin Fu, Yu Wu, Hailei Zhang, Yichuan Hu, Dongyan Zhao and Rui Yan. Be Aware of the Hot Zone: A Warning System of Hazard Area Prediction to Intervene Novel Coronavirus COVID-19 Outbreak
Yuanfei Luo, Hao Zhou, Weiwei Tu, Yuqiang Chen, Wenyuan Dai and Qiang Yang. Network On Network for Tabular Data Classification in Real-world Applications
Yuan Tian, Ke Zhou, Mounia Lalmas and Dan Pelleg. Identifying Tasks from Mobile App Usage Patterns