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Scaling Law for Recommendation Models: Towards General-Purpose User Representations.

, , , , , , and . AAAI, page 4596-4604. AAAI Press, (2023)

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Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning., , , , , , , and . ACL (1), page 1146-1161. Association for Computational Linguistics, (2023)Scaling Law for Recommendation Models: Towards General-purpose User Representations., , , , and . CoRR, (2021)Generating Images Part by Part with Composite Generative Adversarial Networks., and . CoRR, (2016)Ways of Conditioning Generative Adversarial Networks., and . CoRR, (2016)Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation., , , , , , , , , and . RecSys (Late-Breaking Results), volume 2431 of CEUR Workshop Proceedings, page 56-60. CEUR-WS.org, (2019)HyperCLOVA X Technical Report., , , , , , , , , and 90 other author(s). CoRR, (2024)Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning., , , , , , , and . CoRR, (2022)One4all User Representation for Recommender Systems in E-commerce., , , , , , and . CoRR, (2021)Global-Local Item Embedding for Temporal Set Prediction., , , , , , and . RecSys, page 674-679. ACM, (2021)A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting., , , and . ICBINB@NeurIPS, volume 137 of Proceedings of Machine Learning Research, page 98-105. PMLR, (2020)