Cross-Domain Recommendation for Mapping Sentiment Review Pattern
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Yang Xu | Zhaohui Peng | Yupeng Hu | Xiaoguang Hong | Wenjing Fu | Yang Xu | Zhaohui Peng | Yupeng Hu | Wenjing Fu | Xiaoguang Hong
[1] Wei Chen,et al. Making recommendations from multiple domains , 2013, KDD.
[2] Hao Luo,et al. Cross-Domain Recommendation via Cluster-Level Latent Factor Model , 2013, ECML/PKDD.
[3] Alexander J. Smola,et al. Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS) , 2014, KDD.
[4] Heyan Huang,et al. Cross-Domain Collaborative Filtering with Review Text , 2015, IJCAI.
[5] Qiang Yang,et al. Transfer learning for collaborative filtering via a rating-matrix generative model , 2009, ICML '09.
[6] Maite Taboada,et al. Lexicon-Based Methods for Sentiment Analysis , 2011, CL.
[7] Roberto Turrin,et al. Cross-Domain Recommender Systems , 2015, Recommender Systems Handbook.
[8] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[9] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[10] Jun Guo,et al. Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model , 2014, AAAI.
[11] Andrea Esuli,et al. SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining , 2010, LREC.
[12] Guokun Lai,et al. Explicit factor models for explainable recommendation based on phrase-level sentiment analysis , 2014, SIGIR.
[13] Jingrui He,et al. A Graph-based Recommendation across Heterogeneous Domains , 2015, CIKM.
[14] Julian J. McAuley,et al. Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering , 2016, WWW.
[15] Xiaolong Jin,et al. Cross-Domain Recommendation: An Embedding and Mapping Approach , 2017, IJCAI.
[16] Bruce W. Suter,et al. The multilayer perceptron as an approximation to a Bayes optimal discriminant function , 1990, IEEE Trans. Neural Networks.
[17] Qiang Yang,et al. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks , 2022 .
[18] Sheng Wang,et al. SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis , 2014, AAAI.
[19] Geoffrey J. Gordon,et al. Relational learning via collective matrix factorization , 2008, KDD.
[20] Bo Li,et al. Cross-Domain Recommendation via Tag Matrix Transfer , 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).