iMecho: a context-aware desktop search system

Authors:
Jidong Chen;Hang Guo;Wentao Wu;Wei Wang
Affiliations:
EMC Research China, Beijing, China;EMC Research China, Beijing, China;Fudan University, Shanghai, China;Fudan University, Shanghai, China
Venue:
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Year:
2011

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Abstract

In this demo, we present iMecho, a context-aware desktop search system to help users get more relevant results. Different from other desktop search engines, iMecho ranks results not only by the content of the query, but also the context of the query. It employs an Hidden Markov Model (HMM)-based user model, which is learned from user's activity logs, to estimate the query context when he submits the query. The results from keyword search are re-ranked by their relevances to the context with acceptable overhead.