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Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems.

, , , , , , , , , , , , , и . SIGIR, стр. 2837-2847. ACM, (2023)

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Yupeng Cun

Yupeng Yan

Yupeng Li

Changbao Hou

Bo Hou

 

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Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation., , , , , , и . CoRR, (2023)ID-Agnostic User Behavior Pre-training for Sequential Recommendation., , , , и . CCIR, том 13819 из Lecture Notes in Computer Science, стр. 16-27. Springer, (2022)Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network., , , , , , , и . CIKM, стр. 65-74. ACM, (2020)Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders., , , и . WWW, стр. 1162-1171. ACM, (2023)Bridging Language and Items for Retrieval and Recommendation., , , , , и . CoRR, (2024)The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models., , , , , , , , , и . CIKM, стр. 5267-5270. ACM, (2023)Mosaic IT: Enhancing Instruction Tuning with Data Mosaics., , , , , , , и . CoRR, (2024)AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems., , , , , , , и . WWW, стр. 3679-3689. ACM, (2024)RecBole 2.0: Towards a More Up-to-Date Recommendation Library., , , , , , , , , и 9 other автор(ы). CIKM, стр. 4722-4726. ACM, (2022)Privacy-Preserved Neural Graph Similarity Learning., , , и . ICDM, стр. 191-200. IEEE, (2022)