{"id":154185,"date":"2004-01-01T00:00:00","date_gmt":"2004-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/implicit-queries-iq-for-contextualized-search\/"},"modified":"2018-10-16T20:26:12","modified_gmt":"2018-10-17T03:26:12","slug":"implicit-queries-iq-for-contextualized-search","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/implicit-queries-iq-for-contextualized-search\/","title":{"rendered":"Implicit Queries (IQ) For Contextualized Search"},"content":{"rendered":"<div class=\"asset-content\">\n<p>The Implicit Query (IQ) prototype is a system which automatically generates context-sensitive searches based on a user\u2019s current computing activities. In the demo, we show IQ running when users are reading or composing email. Queries are automatically generated by analyzing the email message, and results are presented in a small pane adjacent to the current window to provide peripheral awareness of related information.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Implicit Query (IQ) prototype is a system which automatically generates context-sensitive searches based on a user\u2019s current computing activities. In the demo, we show IQ running when users are reading or composing email. Queries are automatically generated by analyzing the email message, and results are presented in a small pane adjacent to the current [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"sdumais","user_id":"33565"},{"type":"user_nicename","value":"cutrell","user_id":"31490"},{"type":"user_nicename","value":"ramans","user_id":"33335"},{"type":"user_nicename","value":"horvitz","user_id":"32033"}],"msr_publishername":"Association for Computing Machinery, Inc.","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval","msr_editors":"","msr_how_published":"","msr_isbn":"1-58113-881-4","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"594\u2013594","msr_page_range_start":"594","msr_page_range_end":"594","msr_series":"","msr_volume":"","msr_copyright":"Copyright \u00a9 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and\/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org. The definitive version of this paper can be found at ACM's Digital Library --http:\/\/www.acm.org\/dl\/.","msr_conference_name":"SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Edward 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