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k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering.

, , , , , и . SmartCom, том 10699 из Lecture Notes in Computer Science, стр. 406-416. Springer, (2017)

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A survey of transfer learning for collaborative recommendation with auxiliary data.. Neurocomputing, (2016)Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks., , , , и . CIKM, стр. 1999-2002. ACM, (2014)HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation., , и . CIKM, стр. 769-778. ACM, (2014)Context-Aware Collaborative Ranking., , и . AIRS, том 12004 из Lecture Notes in Computer Science, стр. 43-55. Springer, (2019)Conditional restricted Boltzmann machine for item recommendation., , , , и . Neurocomputing, (2020)Transfer learning in heterogeneous collaborative filtering domains., и . Artif. Intell., (2013)FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation., , и . RecSys, стр. 130-139. ACM, (2020)Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets., , , и . Inf. Sci., (апреля 2023)Modeling Item Categories for Effective Recommendation., , , и . DASFAA (3), том 11448 из Lecture Notes in Computer Science, стр. 402-405. Springer, (2019)KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data., , , , , , , и . IEEE Trans. Knowl. Data Eng., 35 (8): 8143-8156 (августа 2023)