An Entity Graph Based Recommender System
暂无分享,去创建一个
[1] Zhengping Jin,et al. An Improved Graph-based Recommender System for Finding Novel Recommendations among Relevant Items , 2015, ICM 2015.
[2] Soumen Chakrabarti,et al. Dynamic personalized pagerank in entity-relation graphs , 2007, WWW '07.
[3] Hsinchun Chen,et al. A graph-based recommender system for digital library , 2002, JCDL '02.
[4] Pasquale Lops,et al. Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems , 2015, CBRecSys@RecSys.
[5] Guy Shani,et al. EduRank: A Collaborative Filtering Approach to Personalization in E-learning , 2014, EDM.
[6] Amos Azaria,et al. Movie recommender system for profit maximization , 2013, AAAI.
[7] Geng Tian,et al. Recommending scientific articles using bi-relational graph-based iterative RWR , 2013, RecSys.
[8] John Riedl,et al. Recommender systems in e-commerce , 1999, EC '99.
[9] Michael R. Lyu,et al. Mining Web Graphs for Recommendations , 2012, IEEE Transactions on Knowledge and Data Engineering.
[10] Sreenivas Gollapudi,et al. Estimating PageRank on graph streams , 2008, PODS.
[11] Marc Boullé,et al. Comparing State-of-the-Art Collaborative Filtering Systems , 2007, MLDM.
[12] Loriene Roy,et al. Content-based book recommending using learning for text categorization , 1999, DL '00.
[13] Xinlei Chen,et al. Never-Ending Learning , 2012, ECAI.
[14] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[15] Rong Jin,et al. Understanding bag-of-words model: a statistical framework , 2010, Int. J. Mach. Learn. Cybern..
[16] J. Bobadilla,et al. Recommender systems survey , 2013, Knowl. Based Syst..
[17] Iraklis Varlamis,et al. SEWeP: using site semantics and a taxonomy to enhance the Web personalization process , 2003, KDD '03.
[18] Amos Azaria,et al. Instructable Intelligent Personal Agent , 2016, AAAI.
[19] Tommaso Di Noia,et al. Top-N recommendations from implicit feedback leveraging linked open data , 2013, IIR.
[20] Yehuda Koren,et al. Lessons from the Netflix prize challenge , 2007, SKDD.
[21] Hsinchun Chen,et al. Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach , 2013, Decis. Support Syst..
[22] Gilles Brassard,et al. Alambic: a privacy-preserving recommender system for electronic commerce , 2008, International Journal of Information Security.
[23] Rajeev Motwani,et al. The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.
[24] Kibeom Lee,et al. Escaping your comfort zone: A graph-based recommender system for finding novel recommendations among relevant items , 2015, Expert Syst. Appl..
[25] David M. Pennock,et al. Categories and Subject Descriptors , 2001 .
[26] Taghi M. Khoshgoftaar,et al. A Survey of Collaborative Filtering Techniques , 2009, Adv. Artif. Intell..
[27] Stathes Hadjiefthymiades,et al. Facing the cold start problem in recommender systems , 2014, Expert Syst. Appl..
[28] Alexandre Passant,et al. dbrec - Music Recommendations Using DBpedia , 2010, SEMWEB.
[29] Amos Azaria,et al. Recommender Systems with Personality , 2016, RecSys.
[30] Pasquale Lops,et al. Content-based Recommender Systems: State of the Art and Trends , 2011, Recommender Systems Handbook.