Evaluating implicit feedback models using searcher simulations
ACM Transactions on Information Systems (TOIS)
Optimizing web search using social annotations
Proceedings of the 16th 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
Socially filtered web search: an approach using social bookmarking tags to personalize web search
Proceedings of the 2009 ACM symposium on Applied Computing
Using wordnet-based neighborhood for improving social tag recommendation
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
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In this paper, we present a folksonomy-based approach for implicit user intent extraction during a Web search process. We present a number of result re-ranking techniques based on this representation that can be applied to any Web search engine. We perform a user experiment the results of which indicate that this type of representation is better at context extraction than using the actual textual content of the document.