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A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.

, , , , , , , , and . RecSys, page 20-28. ACM, (2019)

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Lottery4CVR: Neuron-Connection Level Sharing for Multi-task Learning in Video Conversion Rate Prediction., , , , , and . ECIR (5), volume 14612 of Lecture Notes in Computer Science, page 275-280. Springer, (2024)Social4Rec: Distilling User Preference from Social Graph for Video Recommendation in Tencent., , , , , and . CoRR, (2023)Knowledge Soft Integration for Multimodal Recommendation., , , , , , , and . CoRR, (2023)STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation., , , and . RecSys, page 602-612. ACM, (2023)LT4REC: A Lottery Ticket Hypothesis Based Multi-task Practice for Video Recommendation System., , , , , , , and . CoRR, (2020)Neighbor Based Enhancement for the Long-Tail Ranking Problem in Video Rank Models., and . CoRR, (2023)Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation., , , , and . ECML/PKDD (5), volume 14173 of Lecture Notes in Computer Science, page 426-442. Springer, (2023)Incorporating Social-Aware User Preference for Video Recommendation., , , , , and . WISE, volume 14306 of Lecture Notes in Computer Science, page 544-558. Springer, (2023)On Modeling Long-Term User Engagement from Stochastic Feedback., , and . WWW (Companion Volume), page 940-944. ACM, (2023)A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation., , , , , , , , and . RecSys, page 20-28. ACM, (2019)