Recommendation systems: Principles, methods and evaluation
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[1] A. K. Pujari,et al. Data Mining Techniques , 2006 .
[2] Patrick Seemann,et al. Matrix Factorization Techniques for Recommender Systems , 2014 .
[3] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[4] Robin D. Burke,et al. Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.
[5] Ali Mamat,et al. WebPUM: A Web-based recommendation system to predict user future movements , 2010, Expert Syst. Appl..
[6] Dan Frankowski,et al. Collaborative Filtering Recommender Systems , 2007, The Adaptive Web.
[7] Paul Resnick,et al. Recommender systems , 1997, CACM.
[8] Sandra Clara Gadanho,et al. Addressing uncertainty in implicit preferences , 2007, RecSys '07.
[9] Kamal Kant Bharadwaj,et al. Fuzzy-genetic approach to recommender systems based on a novel hybrid user model , 2008, Expert Syst. Appl..
[10] Ioannis Konstas,et al. On social networks and collaborative recommendation , 2009, SIGIR.
[11] Michael J. Pazzani,et al. User Modeling for Adaptive News Access , 2000, User Modeling and User-Adapted Interaction.
[12] David McSherry,et al. Explaining the Pros and Cons of Conclusions in CBR , 2004, ECCBR.
[13] David G. Stork,et al. Pattern Classification , 1973 .
[14] Dunja Mladenic,et al. Web Mining: From Web to Semantic Web , 2004, Lecture Notes in Computer Science.
[15] Kenneth Y. Goldberg,et al. Eigentaste: A Constant Time Collaborative Filtering Algorithm , 2001, Information Retrieval.
[16] Murat Göksedef,et al. Combination of Web page recommender systems , 2010, Expert Syst. Appl..
[17] Tong Zhang,et al. Recommender systems using linear classifiers , 2002 .
[18] Kristian J. Hammond,et al. The FindMe Approach to Assisted Browsing , 1997, IEEE Expert.
[19] Ingoo Han,et al. Detection of the customer time-variant pattern for improving recommender systems , 2005, Expert Syst. Appl..
[20] J. Bobadilla,et al. Recommender systems survey , 2013, Knowl. Based Syst..
[21] Thore Graepel,et al. Matchbox: large scale online bayesian recommendations , 2009, WWW '09.
[22] Robin D. Burke,et al. Hybrid Web Recommender Systems , 2007, The Adaptive Web.
[23] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[24] David Heckerman,et al. Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.
[25] Ahmad M. Ahmad Wasfi. Collecting user access patterns for building user profiles and collaborative filtering , 1998, IUI '99.
[26] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[27] Jie Lu,et al. A trust-semantic fusion-based recommendation approach for e-business applications , 2012, Decis. Support Syst..
[28] Bingyong Tang,et al. Recommender System in E-commerce , 2012, ICEE 2012.
[29] Wei-Ying Ma,et al. Block-level link analysis , 2004, SIGIR '04.
[30] Greg Linden,et al. Amazon . com Recommendations Item-to-Item Collaborative Filtering , 2001 .
[31] Bradley N. Miller,et al. Applying Collaborative Filtering to Usenet News , 1997 .
[32] Oskar Dressler,et al. Künstliche Intelligenz? , 1986, FIFF Jahrestagung.
[33] Bradley N. Miller,et al. Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system , 1998, CSCW '98.
[34] Young Park,et al. A time-based approach to effective recommender systems using implicit feedback , 2008, Expert Syst. Appl..
[35] Lars Schmidt-Thieme,et al. Taxonomy-driven computation of product recommendations , 2004, CIKM '04.
[36] Jae Kyeong Kim,et al. A literature review and classification of recommender systems research , 2012, Expert Syst. Appl..
[37] Ivan Koychev,et al. Learning User Interests through Positive Examples Using Content Analysis and Collaborative Filtering , 2001 .
[38] Dimitris Plexousakis,et al. Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents , 2004, Eng. Appl. Artif. Intell..
[39] Nicolae Tomai,et al. Association-Rules-Based Recommender System for Personalization in Adaptive Web-Based Applications , 2010, ICWE Workshops.
[40] Jonathan L. Herlocker,et al. Evaluating collaborative filtering recommender systems , 2004, TOIS.
[41] Christian Posse,et al. Bayesian Mixed-Effects Models for Recommender Systems , 1999 .
[42] Andrew Jennings,et al. A Personal News Service Based on a User Model Neural Network , 1992 .
[43] Ahmet Arslan,et al. A collaborative filtering method based on artificial immune network , 2009, Expert Syst. Appl..
[44] Michael J. Pazzani,et al. A Framework for Collaborative, Content-Based and Demographic Filtering , 1999, Artificial Intelligence Review.
[45] Adam Prügel-Bennett,et al. A Scalable, Accurate Hybrid Recommender System , 2010, 2010 Third International Conference on Knowledge Discovery and Data Mining.
[46] Bradley N. Miller,et al. GroupLens: applying collaborative filtering to Usenet news , 1997, CACM.
[47] Jürgen Buder,et al. Learning with personalized recommender systems: A psychological view , 2012, Comput. Hum. Behav..
[48] Mark Claypool,et al. Combining Content-Based and Collaborative Filters in an Online Newspaper , 1999, SIGIR 1999.
[49] Gerhard Friedrich,et al. Recommender Systems - An Introduction , 2010 .
[50] P. Moradi,et al. A novel collaborative filtering model based on combination of correlation method with matrix completion technique , 2012, The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012).
[51] G. James Blaine,et al. Continuous Monitoring of Physiologic Variables with a Dedicated Minicomputer , 1975, Computer.
[52] Raymond J. Mooney,et al. Content-boosted collaborative filtering for improved recommendations , 2002, AAAI/IAAI.
[53] Boon Chong Lim,et al. Word-of-mouth: The use of source expertise in the evaluation of familiar and unfamiliar brands , 2014 .
[54] John Riedl,et al. Recommender systems in e-commerce , 1999, EC '99.
[55] Rong Hu,et al. Acceptance issues of personality-based recommender systems , 2009, RecSys '09.
[56] Òscar Celma,et al. Foafing the Music: Bridging the Semantic Gap in Music Recommendation , 2006, SEMWEB.
[57] Evaggelia Pitoura,et al. Search result diversification , 2010, SGMD.
[58] John Riedl,et al. Recommender systems: from algorithms to user experience , 2012, User Modeling and User-Adapted Interaction.
[59] Loriene Roy,et al. Content-based book recommending using learning for text categorization , 1999, DL '00.
[60] Douglas W. Oard,et al. Implicit Feedback for Recommender Systems , 1998 .
[61] Henry Lieberman,et al. Letizia: An Agent That Assists Web Browsing , 1995, IJCAI.
[62] Barry Smyth,et al. Trust in recommender systems , 2005, IUI.
[63] Barry Smyth,et al. PTV: Intelligent Personalised TV Guides , 2000, AAAI/IAAI.
[64] Peter Brusilovsky,et al. Social networks and interest similarity: the case of CiteULike , 2010, HT '10.
[65] Gediminas Adomavicius,et al. Impact of data characteristics on recommender systems performance , 2012, TMIS.
[66] Andrea Montanari,et al. Matrix completion from a few entries , 2009, ISIT.
[67] Emmanuel J. Candès,et al. Exact Matrix Completion via Convex Optimization , 2009, Found. Comput. Math..
[68] Yoon Ho Cho,et al. A personalized recommender system based on web usage mining and decision tree induction , 2002, Expert Syst. Appl..
[69] Urszula Kuzelewska. Advantages of Information Granulation in Clustering Algorithms , 2011, ICAART.
[70] Zhi-Dan Zhao,et al. User-Based Collaborative-Filtering Recommendation Algorithms on Hadoop , 2010, 2010 Third International Conference on Knowledge Discovery and Data Mining.
[71] Taghi M. Khoshgoftaar,et al. A Survey of Collaborative Filtering Techniques , 2009, Adv. Artif. Intell..
[72] Domonkos Tikk,et al. Investigation of Various Matrix Factorization Methods for Large Recommender Systems , 2008, ICDM Workshops.
[73] Chenguang Pan,et al. Research paper recommendation with topic analysis , 2010, 2010 International Conference On Computer Design and Applications.
[74] Sean M. McNee,et al. Improving recommendation lists through topic diversification , 2005, WWW '05.
[75] Michael J. A. Berry,et al. Data mining techniques - for marketing, sales, and customer support , 1997, Wiley computer publishing.
[76] John Riedl,et al. Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems , 2006, ETRICS.
[77] Rich Caruana,et al. An empirical comparison of supervised learning algorithms , 2006, ICML.
[78] Long-Sheng Chen,et al. Developing recommender systems with the consideration of product profitability for sellers , 2008, Inf. Sci..
[79] Xin Jin,et al. Semantically Enhanced Collaborative Filtering on the Web , 2003, EWMF.
[80] Li Chen,et al. A user-centric evaluation framework for recommender systems , 2011, RecSys '11.
[81] Bamshad Mobasher. Recommender Systems , 2007, Künstliche Intell..
[82] Michael J. Pazzani,et al. A hybrid user model for news story classification , 1999 .
[83] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[84] Bradley N. Miller,et al. Social Information Filtering : Algorithms for Automating “ Word of Mouth , ” , 2017 .
[85] William W. Cohen,et al. Recommendation as Classification: Using Social and Content-Based Information in Recommendation , 1998, AAAI/IAAI.
[86] Sean M. McNee,et al. Getting to know you: learning new user preferences in recommender systems , 2002, IUI '02.
[87] Ram D. Gopal,et al. Empirical Analysis of the Impact of Recommender Systems on Sales , 2010, J. Manag. Inf. Syst..
[88] Barry Smyth,et al. A personalised TV listings service for the digital TV age , 2000, Knowl. Based Syst..
[89] SongJie Gong,et al. A personalized recommendation system combining case-based reasoning and user-based collaborative filtering , 2009, 2009 Chinese Control and Decision Conference.
[90] 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.
[91] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[92] Ralph Bergmann,et al. WEBSELL: Intelligent Sales Assistants for the World Wide Web , 2001, Künstliche Intell..