User profiling in personal information agents: a survey
The Knowledge Engineering Review
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Profiling multiple domains of user interests and using them for personalized web support
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Clustering of Social Tagging System Users: A Topic and Time Based Approach
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
A recommender system based on tag and time information for social tagging systems
Expert Systems with Applications: An International Journal
Learning user characteristics from social tagging behavior
Proceedings of the 23rd ACM conference on Hypertext and social media
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We analyse data obtained from several collaborative tagging systems and discover that user interests can be very diverse. Traditional methods for representing interests of users are usually not able to reflect such diversity. We propose a method to construct user profiles of multiple interests using data in a collaborative tagging system. Our evaluation suggests that the proposed method is able to generate user profiles which reflect the diversity of user interests and can be used to help provide more focused recommendation.