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CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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ACM Transactions on Information Systems (TOIS)
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A graph model for E-commerce recommender systems
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Exploring social annotations for the semantic web
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AutoTag: a collaborative approach to automated tag assignment for weblog posts
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Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
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WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
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Tag Recommendations in Folksonomies
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
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AI Communications
Tagommenders: connecting users to items through tags
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Search result re-ranking based on gap between search queries and social tags
Proceedings of the 18th international conference on World wide web
Learning optimal ranking with tensor factorization for tag recommendation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
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Getting the most out of social annotations for web page classification
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TagiCoFi: tag informed collaborative filtering
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Predicting social-tags for cold start book recommendations
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Exploit the tripartite network of social tagging for web clustering
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Tensor Decompositions and Applications
SIAM Review
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Topic-based web page recommendation using tags
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
The adaptive web: methods and strategies of web personalization
The adaptive web: methods and strategies of web personalization
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CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Community-based topic modeling for social tagging
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Automatic tag recommendation algorithms for social recommender systems
ACM Transactions on the Web (TWEB)
Recommender Systems Handbook
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UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Collaborative tagging as a tripartite network
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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ACM Transactions on Management Information Systems (TMIS)
A Random Walk Model for Item Recommendation in Social Tagging Systems
ACM Transactions on Management Information Systems (TMIS)
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Collaborative tagging or social bookmarking is a main component of Web 2.0 systems and has been widely recognized as one of the key technologies underpinning next-generation knowledge management platforms. In this article, we propose a subject-centered model of collaborative tagging to account for the ternary cooccurrences involving users, items, and tags in such systems. Extending the well-established probabilistic latent semantic analysis theory for knowledge representation, our model maps the user, item, and tag entities into a common latent subject space that captures the “wisdom of the crowd” resulted from the collaborative tagging process. To put this model into action, we have developed a novel way to estimate the probabilistic subject-centered model approximately in a highly efficient manner taking advantage of a matrix factorization method. Our empirical evaluation shows that our proposed approach delivers substantial performance improvement on the knowledge resource recommendation task over the state-of-the-art standard and tag-aware resource recommendation algorithms.