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Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations

, , , and . ACM Transactions on Information Systems (TOIS), 39 (1): 1--42 (2020)

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AdaMerging: Adaptive Model Merging for Multi-Task Learning., , , , , , and . CoRR, (2023)CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network., , , , and . CoRR, (2020)PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews., , , , , , and . Knowl. Based Syst., (January 2024)Learning compact yet accurate Generative Adversarial Networks for recommender systems., , , and . Knowl. Based Syst., (2022)Merging trust in collaborative filtering to alleviate data sparsity and cold start., , and . Knowl. Based Syst., (2014)NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension., , , and . SemEval@ACL/IJCNLP, page 827-832. Association for Computational Linguistics, (2021)Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation., , , , and . IJCAI, page 2415-2422. ijcai.org, (2023)Leveraging Title-Abstract Attentive Semantics for Paper Recommendation., , , , , and . AAAI, page 67-74. AAAI Press, (2020)fBGD: Learning Embeddings From Positive Unlabeled Data with BGD., , , , , , and . UAI, page 198-207. AUAI Press, (2018)Meta Learning Framework for Improved Long-tail Item Recommendation., , and . ICSAI, page 1-6. IEEE, (2023)