On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Text-Learning and Related Intelligent Agents: A Survey
IEEE Intelligent Systems
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Using corpus statistics and WordNet relations for sense identification
Computational Linguistics - Special issue on word sense disambiguation
Some Effective Techniques for Naive Bayes Text Classification
IEEE Transactions on Knowledge and Data Engineering
Adaptive, intelligent presentation of information for the museum visitor in PEACH
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
The Benefit of Using Tag-Based Profiles
LA-WEB '07 Proceedings of the 2007 Latin American Web Conference
Improved recommendation based on collaborative tagging behaviors
Proceedings of the 13th international conference on Intelligent user interfaces
Combining learning and word sense disambiguation for intelligent user profiling
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Content-Based Personalization Services Integrating Folksonomies
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Personalized Recommender Systems Integrating Social Tags and Item Taxonomy
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
TagiCoFi: tag informed collaborative filtering
Proceedings of the third ACM conference on Recommender systems
Collaborative filtering for social tagging systems: an experiment with CiteULike
Proceedings of the third ACM conference on Recommender systems
Knowledge infusion into content-based recommender systems
Proceedings of the third ACM conference on Recommender systems
Document recommendation in social tagging services
Proceedings of the 19th international conference on World wide web
Connecting users and items with weighted tags for personalized item recommendations
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Topic-based personalized recommendation for collaborative tagging system
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Interactive recommendations in social endorsement networks
Proceedings of the fourth ACM conference on Recommender systems
MARS: a MultilAnguage Recommender System
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Recommending research colloquia: a study of several sources for user profiling
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Cross-language personalization through a semantic content-based recommender system
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
A recommender system based on tag and time information for social tagging systems
Expert Systems with Applications: An International Journal
Categorising social tags to improve folksonomy-based recommendations
Web Semantics: Science, Services and Agents on the World Wide Web
Collaborative user modeling with user-generated tags for social recommender systems
Expert Systems with Applications: An International Journal
Developing trust networks based on user tagging information for recommendation making
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
Cross-language information filtering: word sense disambiguation vs. distributional models
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Learning semantic content-based profiles for cross-language recommendations
Proceedings of the First Workshop on Personalised Multilingual Hypertext Retrieval
Overview and analysis of personal and social tagging context to construct user models
Proceedings of the 2nd Workshop on Context-awareness in Retrieval and Recommendation
RED'10 Proceedings of the Third international conference on Resource Discovery
Personalization in cultural heritage: the road travelled and the one ahead
User Modeling and User-Adapted Interaction
Using inferred tag ratings to improve user-based collaborative filtering
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Collaborative filtering with user ratings and tags
Proceedings of the 1st International Workshop on Context Discovery and Data Mining
A folksonomy-based recommender system for personalized access to digital artworks
Journal on Computing and Cultural Heritage (JOCCH)
Concurrency and Computation: Practice & Experience
Generating virtual ratings from chinese reviews to augment online recommendations
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Improving recommendation accuracy based on item-specific tag preferences
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
A novel user-based collaborative filtering method by inferring tag ratings
ACM SIGAPP Applied Computing Review
Knowledge-Based Systems
Analyzing user behavior across social sharing environments
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
Future Generation Computer Systems
Personalized recommender systems integrating tags and item taxonomy
Web Intelligence and Agent Systems
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Basic content personalization consists in matching up the attributes of a user profile, in which preferences and interests are stored, with the attributes of a content object. The Web 2.0 (r)evolution and the advent of user generated content have changed the game for personalization, since the role of people has evolved from passive consumers of information to that of active contributors. One of the forms of user generated content that has drawn more attention from the research community is folksonomy, a taxonomy generated by users who collaboratively annotate and categorize resources of interests with freely chosen keywords called tags. In this paper, we investigate whether folksonomies might be a valuable source of information about user interests. The main contribution is a strategy that enables a content-based recommender to infer user interests by applying machine learning techniques both on the "official" item descriptions provided by a publisher, and on tags which users adopt to freely annotate relevant items. Static content and tags are preventively analyzed by advanced linguistic techniques in order to capture the semantics of the user interests often hidden behind keywords. The proposed approach has been evaluated in the context of cultural heritage personalization. Preliminary experiments involving 30 real users show an improvement in the predictive accuracy of the tag-augmented recommender compared to the pure content-based one.