Content-based Recommender Systems: State of the Art and Trends
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[1] Nigel Shadbolt,et al. A Study of User Profile Generation from Folksonomies , 2008, SWKM.
[2] Yiming Yang,et al. A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.
[3] Greg Linden,et al. Amazon . com Recommendations Item-to-Item Collaborative Filtering , 2001 .
[4] Alexandros Moukas. Amalthaea Information Discovery and Filtering Using a Multiagent Evolving Ecosystem , 1997, Appl. Artif. Intell..
[5] Michael J. Pazzani,et al. A hybrid user model for news story classification , 1999 .
[6] Pattie Maes,et al. Evolving agents for personalized information filtering , 1993, Proceedings of 9th IEEE Conference on Artificial Intelligence for Applications.
[7] Hae-Chang Rim,et al. Some Effective Techniques for Naive Bayes Text Classification , 2006, IEEE Transactions on Knowledge and Data Engineering.
[8] Pasquale Lops,et al. Introducing Serendipity in a Content-Based Recommender System , 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.
[9] Loriene Roy,et al. Content-based book recommending using learning for text categorization , 1999, DL '00.
[10] Wolfgang Nejdl,et al. The Benefit of Using Tag-Based Profiles , 2007 .
[11] Pasquale Lops,et al. A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation , 2007, User Modeling and User-Adapted Interaction.
[12] Andrew McCallum,et al. A comparison of event models for naive bayes text classification , 1998, AAAI 1998.
[13] Paul Resnick,et al. Recommender systems , 1997, CACM.
[14] Irena Koprinska,et al. INTIMATE: a Web-based movie recommender using text categorization , 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).
[15] Pattie Maes,et al. Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.
[16] Pasquale Lops,et al. Knowledge infusion into content-based recommender systems , 2009, RecSys '09.
[17] Henry Lieberman,et al. Letizia: An Agent That Assists Web Browsing , 1995, IJCAI.
[18] Michael J. Pazzani,et al. Learning and Revising User Profiles: The Identification of Interesting Web Sites , 1997, Machine Learning.
[19] F. W. Roush,et al. Topics in the theory of voting, The UMAP expository monograph series : Philip D. Straffin, Jr. Boston, Birkhauser, 1980, US $5.00 , 1982 .
[20] Douglas B. Terry,et al. Using collaborative filtering to weave an information tapestry , 1992, CACM.
[21] Daniel Billsus,et al. Learning Probabilistic User Models , 1998 .
[22] Colm O'Riordan,et al. Profiling with the INFOrmer Text Filtering Agent , 1997, J. Univers. Comput. Sci..
[23] Ahmad M. Ahmad Wasfi. Collecting user access patterns for building user profiles and collaborative filtering , 1998, IUI '99.
[24] Vittorio Loreto,et al. Folksonomies, the semantic web, and movie recommendation , 2007 .
[25] Pasquale Lops,et al. Combining Learning and Word Sense Disambiguation for Intelligent User Profiling , 2007, IJCAI.
[26] Nan Du,et al. Improved recommendation based on collaborative tagging behaviors , 2008, IUI '08.
[27] Judy Kay,et al. Proceedings of the seventh international conference on User modeling , 1999 .
[28] David D. Lewis,et al. A comparison of two learning algorithms for text categorization , 1994 .
[29] Gary Boone,et al. Concept features in Re:Agent, an intelligent Email agent , 1998, AGENTS '98.
[30] Carlo Strapparava,et al. Experiments in Word Domain Disambiguation for Parallel Texts , 2000, ACL 2000.
[31] Christiane Fellbaum,et al. Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.
[32] John K. Debenham,et al. Informed Recommender: Basing Recommendations on Consumer Product Reviews , 2007, IEEE Intelligent Systems.
[33] Tereza Iofciu,et al. Finding Communities of Practice from User Profiles Based on Folksonomies , 2006, EC-TEL Workshops.
[34] Pasquale Lops,et al. Integrating tags in a semantic content-based recommender , 2008, RecSys '08.
[35] Evgeniy Gabrilovich,et al. Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis , 2007, IJCAI.
[36] Dunja Mladenic,et al. Text-learning and related intelligent agents: a survey , 1999, IEEE Intell. Syst..
[37] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[38] Nick Antonopoulos,et al. CinemaScreen recommender agent: combining collaborative and content-based filtering , 2006, IEEE Intelligent Systems.
[39] Analía Amandi,et al. Hybrid Content and Tag-based Profiles for Recommendation in Collaborative Tagging Systems , 2008, 2008 Latin American Web Conference.
[40] Michael J. Pazzani,et al. User Modeling for Adaptive News Access , 2000, User Modeling and User-Adapted Interaction.
[41] Òscar Celma,et al. Foafing the Music: Bridging the Semantic Gap in Music Recommendation , 2006, SEMWEB.
[42] Òscar Celma,et al. Foafing the Music: A Music Recommendation System based on RSS Feeds and User Preferences , 2005, ISMIR.
[43] Pedro M. Domingos,et al. On the Optimality of the Simple Bayesian Classifier under Zero-One Loss , 1997, Machine Learning.
[44] Bernardo A. Huberman,et al. Usage patterns of collaborative tagging systems , 2006, J. Inf. Sci..
[45] Russell Greiner,et al. Does Wikipedia Information Help Netflix Predictions? , 2008, 2008 Seventh International Conference on Machine Learning and Applications.
[46] Mark Anderson. Google Searches for Ad Dollars in Social Networks , 2008, IEEE Spectrum.
[47] Mark Claypool,et al. Combining Content-Based and Collaborative Filters in an Online Newspaper , 1999, SIGIR 1999.
[48] M. Pazzani,et al. Webert : Identifying interesting web sites , 2022 .
[49] J. J. Rocchio,et al. Relevance feedback in information retrieval , 1971 .
[50] Rada Mihalcea,et al. Wikify!: linking documents to encyclopedic knowledge , 2007, CIKM '07.
[51] E. Vesterinen,et al. Affective Computing , 2009, Encyclopedia of Biometrics.
[52] Peter Brusilovsky,et al. Open user profiles for adaptive news systems: help or harm? , 2007, WWW '07.
[53] Yoav Shoham,et al. Fab: content-based, collaborative recommendation , 1997, CACM.
[54] Yoav Shoham,et al. Content-Based, Collaborative Recommendation. , 1997 .
[55] Alejandro Bellogín,et al. News@hand: A Semantic Web Approach to Recommending News , 2008, AH.
[56] Carlo Strapparava,et al. Improving User Modelling with Content-Based Techniques , 2001, User Modeling.
[57] C. Lee Giles,et al. CiteSeer: an autonomous Web agent for automatic retrieval and identification of interesting publications , 1998, AGENTS '98.
[58] Gerald Salton,et al. Automatic text processing , 1988 .
[59] Iraklis Varlamis,et al. SEWeP: using site semantics and a taxonomy to enhance the Web personalization process , 2003, KDD '03.
[60] Maurizio Vichi,et al. Studies in Classification Data Analysis and knowledge Organization , 2011 .
[61] Dunja Mladenic,et al. Machine learning used by Personal WebWatcher , 1999 .
[62] Pasquale Lops,et al. User Profiles for Personalizing Digital Libraries , 2009, Handbook of Research on Digital Libraries.
[63] Bernardo A. Huberman,et al. The Structure of Collaborative Tagging Systems , 2005, ArXiv.
[64] Steve Cayzer,et al. Learning User Profiles from Tagging Data and Leveraging them for Personal(ized) Information Access , 2007, WWW 2007.
[65] Michael McGill,et al. Introduction to Modern Information Retrieval , 1983 .
[66] Thorsten Joachims,et al. Web Watcher: A Tour Guide for the World Wide Web , 1997, IJCAI.
[67] Katia P. Sycara,et al. WebMate: a personal agent for browsing and searching , 1998, AGENTS '98.
[68] Ian H. Witten,et al. The zero-frequency problem: Estimating the probabilities of novel events in adaptive text compression , 1991, IEEE Trans. Inf. Theory.
[69] Magnus Sahlgren,et al. The Word-Space Model: using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces , 2006 .
[70] Panagiotis Symeonidis,et al. Content-based Dimensionality Reduction for Recommender Systems , 2007, GfKl.
[71] Federica Cena,et al. Towards a Tag-Based User Model: How Can User Model Benefit from Tags? , 2007, User Modeling.
[72] Ivan Koychev,et al. Learning User Interests through Positive Examples Using Content Analysis and Collaborative Filtering , 2001 .
[73] Robert C. Holte,et al. Inferring What a User Is Not Interested in , 1996, AI.
[74] Philip D. Straffin,et al. Topics in the theory of voting , 1980 .
[75] Robin D. Burke,et al. Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.
[76] John Riedl,et al. GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.
[77] Lior Rokach,et al. Data Mining with Decision Trees - Theory and Applications , 2007, Series in Machine Perception and Artificial Intelligence.
[78] Sandip Sen,et al. MOVIES2GO: an online voting based movie recommender system , 2001, AGENTS '01.
[79] Humphrey Sorensen,et al. PSUN: A Profiling System for Usenet News , 1995, CIKM Information Agents Workshop.
[80] Stuart E. Middleton,et al. Ontological user profiling in recommender systems , 2004, TOIS.
[81] Allan Collins,et al. A spreading-activation theory of semantic processing , 1975 .
[82] Martin Szomszor,et al. Enriching Ontological User Profiles with Tagging History for Multi-Domain Recommendations , 2008 .
[83] Sean M. McNee,et al. Being accurate is not enough: how accuracy metrics have hurt recommender systems , 2006, CHI Extended Abstracts.
[84] Evgeniy Gabrilovich,et al. Concept-Based Feature Generation and Selection for Information Retrieval , 2008, AAAI.
[85] Sean M. McNee,et al. Accurate is not always good: How Accuracy Metrics have hurt Recommender Systems , 2006 .
[86] Panagiotis Symeonidis,et al. Tag recommendations based on tensor dimensionality reduction , 2008, RecSys '08.
[87] Jonathan L. Herlocker,et al. Evaluating collaborative filtering recommender systems , 2004, TOIS.
[88] Luc Steels,et al. Integrating Collaborative Tagging and Emergent Semantics for Image Retrieval , 2006 .
[89] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[90] Anna Lisa Gentile,et al. UNIBA: JIGSAW algorithm for Word Sense Disambiguation , 2007, SemEval@ACL.
[91] José Juan Pazos-Arias,et al. Providing entertainment by content-based filtering and semantic reasoning in intelligent recommender systems , 2008, IEEE Transactions on Consumer Electronics.
[92] Gail A. Herndon. The chronicle of higher education , 1977 .
[93] Josep Lluís de la Rosa i Esteva,et al. A Taxonomy of Recommender Agents on the Internet , 2003, Artificial Intelligence Review.
[94] Yi Zhang,et al. Novelty and redundancy detection in adaptive filtering , 2002, SIGIR '02.
[95] J. Giles. Internet encyclopaedias go head to head , 2005, Nature.
[96] Michael J. Pazzani,et al. Content-Based Recommendation Systems , 2007, The Adaptive Web.
[97] Evgeniy Gabrilovich,et al. Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge , 2006, AAAI.
[98] Lars Schmidt-Thieme,et al. Data Analysis, Machine Learning and Applications - Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007 , 2008, GfKl.
[99] Elaine Rich,et al. User Modeling via Stereotypes , 1998, Cogn. Sci..
[100] Lars Schmidt-Thieme,et al. Tag-aware recommender systems by fusion of collaborative filtering algorithms , 2008, SAC '08.
[101] Barry Smyth,et al. A personalised TV listings service for the digital TV age , 2000, Knowl. Based Syst..
[102] Rada Mihalcea,et al. Linking Documents to Encyclopedic Knowledge , 2008, IEEE Intelligent Systems.
[103] Anna Lisa Gentile,et al. The JUMP project: Domain Ontologies and Linguistic Knowledge @ Work , 2007, SWAP.
[104] George A. Miller,et al. Introduction to WordNet: An On-line Lexical Database , 1990 .
[105] Raymond J. Mooney,et al. Content-boosted collaborative filtering for improved recommendations , 2002, AAAI/IAAI.
[106] Alexander V. Smirnov,et al. Information filtering based on wiki index database , 2008, ArXiv.
[107] Anna Lisa Gentile,et al. An electronic performance support system based on a hybridcContent-collaborative recommender system , 2007 .