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Task Trail: An Effective Segmentation of User Search Behavior

contributor authorZhen Liao
contributor authorYang Song
contributor authorYalou Huang
contributor authorLi-wei He
contributor authorQi He
date accessioned2020-03-12T23:57:45Z
date available2020-03-12T23:57:45Z
date issued2014
identifier issn1041-4347
identifier other6787020.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1129557?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleTask Trail: An Effective Segmentation of User Search Behavior
typeJournal Paper
contenttypeMetadata Only
identifier padid8309913
subject keywordsInternet
subject keywordsdata mining
subject keywordsquery processing
subject keywordssearch engines
subject keywordsURL clicks
subject keywordsWeb page utilities
subject keywordsWeb search log mining
subject keywordsatomic user information
subject keywordsclick-through bipartite
subject keywordscommercial search engine
subject keywordslarge scale data sets
subject keywordsquery level
subject keywordsquery reformulations
subject keywordsquery suggestions
subject keywordsquery terms
subject keywordsquery trails
subject keywordsranking functions
subject keywordsrecommendation systems
subject keywordssession level
subject keywordssession trail
subject keywordstask identification problem
subject keywordstask trail
subject keywordsuser satisfaction
subject keywordsuser search behavior segmentation
subject keywordsuser search interest prediction
subject keywordsBehavio
identifier doi10.1109/TKDE.2014.2316794
journal titleKnowledge and Data Engineering, IEEE Transactions on
journal volume26
journal issue12
filesize1467639
citations0


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