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Web search query / Query expansion / Bing / Learning to rank / SQL / Collaborative search engine / Information science / Information retrieval / Web query classification


Modeling and Analysis of Cross-Session Search Tasks Alexander Kotov1, Paul N. Bennett2, Ryen W. White2, Susan T. Dumais2, and Jaime Teevan2 1 Department of Computer Science, University of Illinois at Urbana-Champaign, Ur
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Document Date: 2011-06-09 10:50:14


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File Size: 332,22 KB

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City

Type History / Urbana / Query / Beijing / London / /

Company

Mei / M.A.S. / Yahoo! / Microsoft / /

Country

United States / China / /

Currency

USD / /

/

Event

Product Issues / Product Recall / /

Facility

University of Illinois / /

IndustryTerm

start monitoring Web content / search sequences / long-term and short-term search contexts / gilvery oil vs. mcgillvery oil / user search behavior / search experience / search process / user search history / Web-based information-seeking tasks / search task continuation / long-term user search behavior / search session / longterm search task / search logs / social networking site / Information search / Web page view / automatic algorithm / presented search results / cancer treatment / crosssession search behavior / search result / query chain / Web crawls / user Web search activity / search result suggestions / search result page / travel / search sessions / search engine infrastructures / multi-session search tasks / search topics / past search results / search tasks / online evaluation / search history / boosted tree algorithm / search task / user search actions / multi-session Web tasks / search goal / cross-session search task / search behavior / Web searchers / Web page visits / topic search / search goals / session-level search goals / search behavior analysis / Web search results / commerical search engines / search success / search engine users / search workspace comprising previous queries / search log data / Web-based information seeking tasks / search quality / search engines / Web search engines / experienced Web users / search accuracy / search engine use / high-level search goals / classification algorithms / Web search / search queries / cross-session search tasks / search activities / field study characterizing Web-based / airline tickets / given search log data / early-dominant search task / observed user search history / long-term search history / browser tools / cross-session search / search engine / long-term search tasks / search-centric Web history / search results / automatic Web session identification / search engine query log / search engine infrastructure / search scenarios / natural search behavior / /

MarketIndex

set 270 / /

NaturalFeature

QUERY STREAM / /

Organization

TN FN / University of Illinois / Department of Computer Science / /

Person

J. Pei / H. Li / Q. He / D.H. Hu / D. Jiang / E. Chen / Z. Liao / /

Position

task model for query suggestions or search result suggestions / General / Cao / /

Product

0.7160 97 / 870 23 / 260 708 / 122 37 / 608 0.7258 0.8183 0.9331 0.7681 / Task characteristics / BASE 3k LR MART TP FP TN FN / TP FP TN FN / /

ProvinceOrState

Illinois / /

Technology

search engine / machine learning / automatic algorithm / boosted tree algorithm / caching / alternative classification algorithms / /

SocialTag