PEVAE

Author:

Cai Zefeng1,Cai Zerui1

Affiliation:

1. East China Normal University, Shanghai, China

Publisher

ACM

Reference54 articles.

1. Qingyao Ai , Vahid Azizi , Xu Chen , and Yongfeng Zhang . 2018. Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. ArXiv abs/1805.03352 ( 2018 ). Qingyao Ai, Vahid Azizi, Xu Chen, and Yongfeng Zhang. 2018. Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. ArXiv abs/1805.03352 (2018).

2. Christopher M. Bishop . 2006. Pattern Recognition and Machine Learning . Springer . Christopher M. Bishop. 2006. Pattern Recognition and Machine Learning. Springer.

3. Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Józefowicz and Samy Bengio. 2016. Generating Sentences from a Continuous Space. In CoNLL. Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Józefowicz and Samy Bengio. 2016. Generating Sentences from a Continuous Space. In CoNLL.

4. Boxing Chen and Colin Cherry. 2014. A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU. In WMT@ACL. Boxing Chen and Colin Cherry. 2014. A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU. In WMT@ACL.

5. Neural Collaborative Reasoning

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Natural Language Explainable Recommendation with Robustness Enhancement;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. A counterfactual explanation method based on modified group influence function for recommendation;Complex & Intelligent Systems;2024-07-27

3. Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. Diffusion Recommendation with Implicit Sequence Influence;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

5. Align MacridVAE: Multimodal Alignment for Disentangled Recommendations;Lecture Notes in Computer Science;2024

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