Using terminological feedback for web search refinement: a log-based study
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Recommending better queries from click-through data
SPIRE'05 Proceedings of the 12th international conference on String Processing and Information Retrieval
Fifth workshop on exploiting semantic annotations in information retrieval: ESAIR''12)
Proceedings of the 21st ACM international conference on Information and knowledge management
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Examining past query reformulations of users in the logs of a search engine shows that not only query rewriting that precises the focus of a query but also queries expressing some topical shift from the original query can help users in their search activities. We examine three methods to explore query rewriting patterns, namely co-click based, co-topic based and co-session based methods. Each method has its own semantic characteristic: the co-click based and the co-topic based methods typically exploit specialization patterns with different granularity whereas the co-session based method is able to extract topic shift patterns. We show the different semantic relations of extracted query pairs by using large scale web annotations for Japanese web pages.