Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Communications of the ACM
An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Usage patterns of collaborative tagging systems
Journal of Information Science
Exploring social annotations for the semantic web
Proceedings of the 15th international conference on World Wide Web
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Exploring social annotations for information retrieval
Proceedings of the 17th international conference on World Wide Web
Exploring folksonomy for personalized search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Real-time automatic tag recommendation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A content-based method to enhance tag recommendation
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Inferring user intent in web search by exploiting social annotations
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A structured approach to query recommendation with social annotation data
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Tagging ontologies with fuzzy wordnet domains
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Personalizing web search with folksonomy-based user and document profiles
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
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Recent years have seen social tag recommendation growing into a popular service for users to organize and share digital content on social webpages. Among of knowledge discovery techniques that are applied in social tag recommendation systems, the collaborative filtering based ones are achieving widespread success. The similarity measurement is critical to determine the appropriateness of the results recommendation in the collaborative-filtering schema. In this paper, a nugget is introduced as an atomic conceptual entity generating from WordNet, to measure the similarity of web content and recommend tags. With the nuggets, we can use the WordNet-based neighbors, rather than the literal ones for collaborative filtering, which considers the common sense that the expression varies for a specific concept. The experiments conducted on the dataset from Del.icio.us, have shown that our approach is effective and consistently achieves better precision and recall than both baselines.