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In video recommendation, an ongoing effort is to satisfy users' personalized information needs by leveraging their logged watch time.
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A Context-Aware Click Model for Web Search. In Proceedings of the 13th International Conference on Web Search and Data Mining (Houston, TX, USA) (WSDM ’20) . Association for Computing Machinery, New York, NY, USA, 88–96
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Disentangling User Interest and Conformity for Recommendation with Causal Embedding. In Proceedings of the Web Conference 2021 (Ljubljana, Slovenia) (WWW ’21) . ACM, New York, NY, USA, 2980–2991
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DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. In Proceedings of the 30th ACM International Conference on Multimedia (Lisboa, Portugal) (MM ’22) . Association for Computing Machinery, New York, NY, USA, 334–345
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Two-Stage Constrained Actor-Critic for Short Video Recommendation. In Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 . ACM, 865–875
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Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems (Singapore, Singapore) (RecSys ’23) . Association for Computing Machinery, New York, NY, USA, 528–539
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