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Recommendation is a prevalent and critical service in information systems.
The central role of the propensity score in observational studies for causal effects
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Bias and Debias in Recommender System: A Survey and Future Directions
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Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, and W. Bruce Croft. 2018 · 2018
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Causal embeddings for recommendation. In
Stephen Bonner and Flavian Vasile. 2018 · 2018
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Temporal Hierarchical Attention at Category- and Item-Level for Micro-Video Click-Through Prediction. In
Xusong Chen, Dong Liu, Zheng-Jun Zha, Wengang Zhou, Zhiwei Xiong, and Yan Li. 2018 · 2018
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Learning on partial-order hypergraphs. In
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Between Clicks and Satisfaction: Study on Multi-Phase User Preferences and Satisfaction for Online News Reading. In
Hongyu Lu, Min Zhang, and Shaoping Ma. 2018 · 2018
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The Book of Why: The New Science of Cause and Effect
Judea Pearl and Dana Mackenzie. 2018 · 2018
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The good, the bad and the bait: Detecting and characterizing clickbait on YouTube. In
Savvas Zannettou, Sotirios Chatzis, Kostantinos Papadamou, and Michael Sirivianos. 2018 · 2018
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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In
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What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation. In
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Iterative Local-Global Collaboration Learning Towards One-Shot Video Person Re-Identification
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Controlling Fairness and Bias in Dynamic Learning-to-Rank. In
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Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, and Elena Zheleva. 2020 · 2020
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Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback. In
Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, and Kazuhide Nakata. 2020 · 2020
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Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. In
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, and Tat-Seng Chua. 2020 · 2020
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Entire space multi-task modeling via post-click behavior decomposition for conversion rate prediction. In
Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, and Keping Yang. 2020 · 2020
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Parameter-efficient transfer from sequential behaviors for user modeling and recommendation. In
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, and Liguang Zhang. 2020 · 2020
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Large-Scale Causal Approaches to Debiasing Post-Click Conversion Rate Estimation with Multi-Task Learning. In
Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, and Ramin Ramezani. 2020 · 2020
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Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. In
Ziwei Zhu, Yun He, Yin Zhang, and James Caverlee. 2020 · 2020
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Market2Dish: Health-Aware Food Recommendation
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