TEAN: Timeliness enhanced attention network for session-based recommendation
暂无分享,去创建一个
Haoxiang Wang | Xingming Zhang | Weina Zhang | Dongpei Chen | Xingming Zhang | Dongpei Chen | Haoxiang Wang | Weina Zhang
[1] MengChu Zhou,et al. Randomized latent factor model for high-dimensional and sparse matrices from industrial applications , 2019, IEEE CAA J. Autom. Sinica.
[2] MengChu Zhou,et al. Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[3] MengChu Zhou,et al. A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[4] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[5] MengChu Zhou,et al. Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors , 2020, IEEE Transactions on Cybernetics.
[6] Taghi M. Khoshgoftaar,et al. A Survey of Collaborative Filtering Techniques , 2009, Adv. Artif. Intell..