Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Web usage mining based on probabilistic latent semantic analysis
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
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Topic-bridged PLSA for cross-domain text classification
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Tag recommendations based on tensor dimensionality reduction
Proceedings of the 2008 ACM conference on Recommender systems
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth 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
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
Generating transparent, steerable recommendations from textual descriptions of items
Proceedings of the third ACM conference on Recommender systems
I tag, you tag: translating tags for advanced user models
Proceedings of the third ACM international conference on Web search and data mining
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Document recommendation in social tagging services
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Identifying and utilizing contextual data in hybrid recommender systems
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Tag expression: tagging with feeling
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Collaborative filtering in social tagging systems based on joint item-tag recommendations
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ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Personalizing tags: a folksonomy-like approach for recommending movies
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Journal of Computer Science and Technology - Special issue on Community Analysis and Information Recommendation
TopRec: domain-specific recommendation through community topic mining in social network
Proceedings of the 22nd international conference on World Wide Web
A Random Walk Model for Item Recommendation in Social Tagging Systems
ACM Transactions on Management Information Systems (TMIS)
Personalized recommender systems integrating tags and item taxonomy
Web Intelligence and Agent Systems
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In this paper we consider the problem of item recommendation in collaborative tagging communities, so called folksonomies, where users annotate interesting items with tags. Rather than following a collaborative filtering or annotation-based approach to recommendation, we extend the probabilistic latent semantic analysis (PLSA) approach and present a unified recommendation model which evolves from item user and item tag co-occurrences in parallel. The inclusion of tags reduces known collaborative filtering problems related to overfitting and allows for higher quality recommendations. Experimental results on a large snapshot of the delicious bookmarking service show the scalability of our approach and an improved recommendation quality compared to two-mode collaborative or annotation based methods.