A vector space model for automatic indexing
Communications of the ACM
Modern Information Retrieval
One-class svms for document classification
The Journal of Machine Learning Research
Usage patterns of collaborative tagging systems
Journal of Information Science
Estimating the Support of a High-Dimensional Distribution
Neural Computation
Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics
Proceedings of the 2007 international ACM conference on Supporting group work
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Proceedings of the 2008 ACM symposium on Applied computing
Tag Recommendations in Folksonomies
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
One-Class Classification by Combining Density and Class Probability Estimation
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Pattern Matching Techniques to Identify Syntactic Variations of Tags in Folksonomies
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Integrating tags in a semantic content-based recommender
Proceedings of the 2008 ACM conference on Recommender systems
Tag-based filtering for personalized bookmark recommendations
Proceedings of the 17th ACM conference on Information and knowledge management
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
A content-based method to enhance tag recommendation
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
IEEE Transactions on Knowledge and Data Engineering
Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions
Artificial Intelligence Review
Web search personalization via social bookmarking and tagging
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Evaluating tag filtering techniques for web resource classification in folksonomies
Expert Systems with Applications: An International Journal
Concurrency and Computation: Practice & Experience
Can your friends help you to find interesting multimedia content on web 2.0?
ADNTIIC'11 Proceedings of the Second international conference on Advances in New Technologies, Interactive Interfaces and Communicability
A self-adapted method for the categorization of social resources
Expert Systems with Applications: An International Journal
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Social bookmarking systems are Web-based services that allow users to bookmark different type of resources, such as Web pages or pictures, annotate resources using keywords or tags and share their bookmarks with others. It has been argued that the main reason of the widespread success of these systems is the simplicity of organize resources using open-ended tags. The massive amount of user-generated content, however, poses the challenge for users of finding interesting resources to read as well as filtering information streams coming from social systems. The study presented in this paper aims at analyzing various types of one-class classifiers in their applicability to the problem of filtering interesting resources coming from social bookmarking systems. These algorithms were used to learn the user interests starting from different sources, such as the full-text of resources and their social tags. Experimental results using a dataset gathered from Del.icio.us collaborative system are reported, showing promising results for information filtering tasks.