A network approach to probabilistic information retrieval
ACM Transactions on Information Systems (TOIS)
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval as statistical translation
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Communications of the ACM
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Statistical Language Models for Information Retrieval A Critical Review
Foundations and Trends in Information Retrieval
Query reformulation using anchor text
Proceedings of the third ACM international conference on Web search and data mining
A content based approach for discovering missing anchor text for web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Discovering missing click-through query language information for web search
Proceedings of the 20th ACM international conference on Information and knowledge management
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In traditional relevance feedback, researchers have explored relevant document feedback, wherein, the query representation is updated based on a set of relevant documents returned by the user. In this work, we investigate relevant query feedback, in which we update a document's representation based on a set of relevant queries. We propose four statistical models to incorporate relevant query feedback.To validate our models, we considered anchor text of incoming links to a given document as feedback queries and performed experiments on the home-page retrieval task of TREC 2001. Our results show that three of our four models outperform the query-likelihood baseline by at least 35% in MRR score on a test set.