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VAE∗: A Novel Variational Autoencoder via Revisiting Positive and Negative Samples for Top-N Recommendation Journal article
Liu, Wei, Leong Hou, U., Liang, Shangsong, Zhu, Huaijie, Yu, Jianxing, Liu, Yubao, Yin, Jian. VAE∗: A Novel Variational Autoencoder via Revisiting Positive and Negative Samples for Top-N Recommendation[J]. ACM Transactions on Knowledge Discovery from Data, 2024, 18(9), 222.
Authors:  Liu, Wei;  Leong Hou, U.;  Liang, Shangsong;  Zhu, Huaijie;  Yu, Jianxing; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:4.0/3.9 | Submit date：2024/12/05
Additional Key Words And Phrasesvariational Autoencoders  Collaborative Filtering  Implicit Feedback  Recommendation  
Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation Conference paper
Liu,Wei, U,Leong Hou, Liang,Shangsong, Zhu,Huaijie, Yu,Jianxing, Liu,Yubao, Yin,Jian. Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation[C]:Springer Science and Business Media Deutschland GmbH, 2023, 563-573.
Authors:  Liu,Wei;  U,Leong Hou;  Liang,Shangsong;  Zhu,Huaijie;  Yu,Jianxing; et al.
Favorite | TC[Scopus]:3 | Submit date：2023/08/03
Collaborative Filtering  Implicit Feedback  Recommendation  Variational Autoencoders