暂无分享,去创建一个
Marc Plantevit | C'eline Robardet | Corentin Lonjarret | Roch Auburtin | C. Robardet | Corentin Lonjarret | Roch Auburtin | Marc Plantevit
[1] Alexandros Karatzoglou,et al. Session-based Recommendations with Recurrent Neural Networks , 2015, ICLR.
[2] Xi Chen,et al. Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization , 2010, SDM.
[3] Julian J. McAuley,et al. Translation-based factorization machines for sequential recommendation , 2018, RecSys.
[4] Quan Z. Sheng,et al. A Survey on Session-based Recommender Systems , 2019, ArXiv.
[5] Jon Atle Gulla,et al. The Adressa dataset for news recommendation , 2017, WI.
[6] Tong Zhao,et al. Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering , 2014, CIKM.
[7] Gediminas Adomavicius,et al. Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques , 2012, IEEE Transactions on Knowledge and Data Engineering.
[8] George Karypis,et al. SLIM: Sparse Linear Methods for Top-N Recommender Systems , 2011, 2011 IEEE 11th International Conference on Data Mining.
[9] Paul Resnick,et al. Recommender systems , 1997, CACM.
[10] Dietmar Jannach,et al. Sequence-Aware Recommender Systems , 2018, UMAP.
[11] Dietmar Jannach,et al. Evaluation of session-based recommendation algorithms , 2018, User Modeling and User-Adapted Interaction.
[12] George Karypis,et al. FISM: factored item similarity models for top-N recommender systems , 2013, KDD.
[13] Alex Beutel,et al. Recurrent Recommender Networks , 2017, WSDM.
[14] Dan Gusfield,et al. Algorithms on Strings, Trees, and Sequences - Computer Science and Computational Biology , 1997 .
[15] CARLOS A. GOMEZ-URIBE,et al. The Netflix Recommender System , 2015, ACM Trans. Manag. Inf. Syst..
[16] Dietmar Jannach,et al. When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation , 2017, RecSys.
[17] Steffen Rendle,et al. Factorization Machines with libFM , 2012, TIST.
[18] Dan Gusfield. Algorithms on Strings, Trees, and Sequences - Computer Science and Computational Biology , 1997 .
[19] Anton van den Hengel,et al. Image-Based Recommendations on Styles and Substitutes , 2015, SIGIR.
[20] F. Maxwell Harper,et al. The MovieLens Datasets: History and Context , 2016, TIIS.
[21] Yehuda Koren,et al. Advances in Collaborative Filtering , 2011, Recommender Systems Handbook.
[22] Xiangnan He,et al. A Generic Coordinate Descent Framework for Learning from Implicit Feedback , 2016, WWW.
[23] Lars Schmidt-Thieme,et al. BPR: Bayesian Personalized Ranking from Implicit Feedback , 2009, UAI.
[24] Julian J. McAuley,et al. Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation , 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).
[25] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[26] Yifeng Zeng,et al. Personalized Ranking Metric Embedding for Next New POI Recommendation , 2015, IJCAI.
[27] Julian J. McAuley,et al. Self-Attentive Sequential Recommendation , 2018, 2018 IEEE International Conference on Data Mining (ICDM).
[28] Nicholas Jing Yuan,et al. Collaborative Knowledge Base Embedding for Recommender Systems , 2016, KDD.
[29] Alejandro Bellogín,et al. Time and sequence awareness in similarity metrics for recommendation , 2020, Inf. Process. Manag..
[30] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[31] Edward Y. Chang,et al. Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks , 2018, SIGIR.
[32] Hugues Bersini,et al. Long and Short-Term Recommendations with Recurrent Neural Networks , 2017, UMAP.
[33] Ke Wang,et al. Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding , 2018, WSDM.
[34] Xue Li,et al. Time weight collaborative filtering , 2005, CIKM '05.
[35] Scott Sanner,et al. AutoRec: Autoencoders Meet Collaborative Filtering , 2015, WWW.
[36] Yehuda Koren,et al. Collaborative filtering with temporal dynamics , 2009, KDD.
[37] Charu C. Aggarwal,et al. Recommender Systems , 2016, Springer International Publishing.
[38] Yongfeng Zhang,et al. Sequential Recommendation with User Memory Networks , 2018, WSDM.
[39] Lars Schmidt-Thieme,et al. Factorizing personalized Markov chains for next-basket recommendation , 2010, WWW '10.
[40] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[41] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[42] Thorsten Joachims,et al. Playlist prediction via metric embedding , 2012, KDD.
[43] Charu C. Aggarwal,et al. Recommender Systems: The Textbook , 2016 .
[44] Tat-Seng Chua,et al. Neural Collaborative Filtering , 2017, WWW.
[45] Julian J. McAuley,et al. Translation-based Recommendation , 2017, RecSys.
[46] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[47] Alan Said,et al. Comparative recommender system evaluation: benchmarking recommendation frameworks , 2014, RecSys '14.
[48] Lina Yao,et al. Deep Learning Based Recommender System , 2017, ACM Comput. Surv..