University of Cambridge > Talks.cam > NLIP Seminar Series > Exploiting Query Logs to Build Adaptive Domain Models for Search and Navigation

Exploiting Query Logs to Build Adaptive Domain Models for Search and Navigation

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If you have a question about this talk, please contact Tamara Polajnar.

Modern search engines have been moving away from very simplistic interfaces that aimed at satisfying a user’s need with a single-shot query. Interactive features such as query suggestions and faceted search are now integral parts of Web search engines. Generating good query modification suggestions to assist a searcher remains however a challenging issue. Query log analysis is one of the major strands of work in this direction. While much research has been performed on query logs collected on the Web as a whole, query log analysis to enhance search on smaller and more focused collections (such as intranets, digital libraries and local Web sites) has attracted less attention. In addition to that, there is plenty of scope to also support a user in navigating (rather than searching) a collection using very similar approaches.

The talk will look at a number of directions we have explored at the University of Essex in addressing this problem by automatically acquiring continuously updated domain models using query and click logs (as well as other sources).

This talk is part of the NLIP Seminar Series series.

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