{"id":"https://openalex.org/W2171392812","doi":"https://doi.org/10.1145/2488388.2488511","title":"Enhancing personalized search by mining and modeling task behavior","display_name":"Enhancing personalized search by mining and modeling task behavior","publication_year":2013,"publication_date":"2013-05-13","ids":{"openalex":"https://openalex.org/W2171392812","doi":"https://doi.org/10.1145/2488388.2488511","mag":"2171392812"},"language":"en","primary_location":{"id":"doi:10.1145/2488388.2488511","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2488388.2488511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd international conference on World Wide Web","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076259865","display_name":"Ryen W. White","orcid":"https://orcid.org/0000-0002-0265-4249"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ryen W. White","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101906116","display_name":"Wei Chu","orcid":"https://orcid.org/0000-0002-4595-388X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Chu","raw_affiliation_strings":["Microsoft Bing, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Bing, Bellevue, WA, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210108985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057744937","display_name":"Ahmed H. Yousef","orcid":"https://orcid.org/0000-0002-7799-9233"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Hassan","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727205","display_name":"Xiaodong He","orcid":"https://orcid.org/0000-0002-9463-9168"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong He","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688422","display_name":"Yang Song","orcid":"https://orcid.org/0000-0001-8252-9626"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Song","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076259865"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":40.1067,"has_fulltext":false,"cited_by_count":138,"citation_normalized_percentile":{"value":0.99725493,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1411","last_page":"1420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.8072186708450317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8060985803604126},{"id":"https://openalex.org/keywords/personalized-search","display_name":"Personalized search","score":0.7226451635360718},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.630425214767456},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.628521203994751},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5789857506752014},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.573209285736084},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5653179287910461},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5599551796913147},{"id":"https://openalex.org/keywords/search-analytics","display_name":"Search analytics","score":0.511573851108551},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.45193302631378174},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4301994740962982},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4224890470504761},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4104103446006775},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20659485459327698},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07697311043739319}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8072186708450317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8060985803604126},{"id":"https://openalex.org/C2776945383","wikidata":"https://www.wikidata.org/wiki/Q7170667","display_name":"Personalized search","level":3,"score":0.7226451635360718},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.630425214767456},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.628521203994751},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5789857506752014},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.573209285736084},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5653179287910461},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5599551796913147},{"id":"https://openalex.org/C14838553","wikidata":"https://www.wikidata.org/wiki/Q7441639","display_name":"Search analytics","level":4,"score":0.511573851108551},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.45193302631378174},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4301994740962982},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4224890470504761},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4104103446006775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20659485459327698},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07697311043739319},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2488388.2488511","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2488388.2488511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd international conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.299.4446","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.4446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/um/people/ryenw/papers/WhiteWWW2013.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.401.9227","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.9227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2013.org/proceedings/p1411.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W186258178","https://openalex.org/W1964731129","https://openalex.org/W1969724596","https://openalex.org/W1975409939","https://openalex.org/W1981261334","https://openalex.org/W2006969979","https://openalex.org/W2022187513","https://openalex.org/W2037933327","https://openalex.org/W2047221353","https://openalex.org/W2057024235","https://openalex.org/W2062270497","https://openalex.org/W2064655998","https://openalex.org/W2080215571","https://openalex.org/W2082718666","https://openalex.org/W2095627566","https://openalex.org/W2095976990","https://openalex.org/W2096946253","https://openalex.org/W2097443371","https://openalex.org/W2097489103","https://openalex.org/W2104255729","https://openalex.org/W2104677329","https://openalex.org/W2108168165","https://openalex.org/W2109677301","https://openalex.org/W2111216736","https://openalex.org/W2111363262","https://openalex.org/W2113363259","https://openalex.org/W2114418126","https://openalex.org/W2114861953","https://openalex.org/W2117955471","https://openalex.org/W2118206599","https://openalex.org/W2120724560","https://openalex.org/W2122841972","https://openalex.org/W2123018325","https://openalex.org/W2123937625","https://openalex.org/W2125771191","https://openalex.org/W2127799072","https://openalex.org/W2133156844","https://openalex.org/W2133909581","https://openalex.org/W2134131174","https://openalex.org/W2135500808","https://openalex.org/W2135972296","https://openalex.org/W2139450192","https://openalex.org/W2148847267","https://openalex.org/W2150263845","https://openalex.org/W2150347588","https://openalex.org/W2152693361","https://openalex.org/W2153828680","https://openalex.org/W2165806612","https://openalex.org/W2168717408","https://openalex.org/W2171806843","https://openalex.org/W2401584468","https://openalex.org/W4245107743","https://openalex.org/W4285719527","https://openalex.org/W6607690188"],"related_works":["https://openalex.org/W3110844189","https://openalex.org/W2389128607","https://openalex.org/W2022811798","https://openalex.org/W2004195576","https://openalex.org/W2169669347","https://openalex.org/W2165096741","https://openalex.org/W2336826532","https://openalex.org/W2184648359","https://openalex.org/W1659228374","https://openalex.org/W3028410978"],"abstract_inverted_index":{"Personalized":[0],"search":[1,4,13,27,39,49,79,89,108,220],"systems":[2],"tailor":[3],"results":[5],"to":[6,20,75,105,120,127,136,140],"the":[7,54,62,76,107,128,143,148,162,177,180,194],"current":[8,46,77,129,144,163],"user":[9,130,164,185],"intent":[10],"using":[11],"historic":[12,48,117,159],"interactions.":[14],"This":[15],"relies":[16],"on":[17,85],"being":[18,197],"able":[19],"find":[21,121],"pertinent":[22],"information":[23],"in":[24,142,193,209,219],"that":[25],"user's":[26,78],"history,":[28,80],"which":[29],"can":[30,51,72,102],"be":[31,73,103],"challenging":[32],"for":[33,37,216],"unseen":[34],"queries":[35],"and":[36,47,60,64,131,156,212],"new":[38],"scenarios.":[40],"Building":[41],"richer":[42],"models":[43],"of":[44,56,66,96,150,171,179,183],"users'":[45,88,100],"tasks":[50,126],"help":[52],"improve":[53],"likelihood":[55],"finding":[57,157],"relevant":[58],"content":[59],"enhance":[61],"relevance":[63],"coverage":[65],"personalization":[67,97,218],"methods.":[68],"The":[69],"task-based":[70],"approach":[71,152,205],"applied":[74],"or":[81],"as":[82,91,188],"we":[83,115,174],"focus":[84],"here,":[86],"all":[87,201],"histories":[90],"so-called":[92],"\"groupization\"":[93],"(a":[94],"variant":[95],"whereby":[98,114],"other":[99,122,202],"profiles":[101],"used":[104],"personalize":[106],"experience).":[109],"We":[110,146],"describe":[111],"a":[112],"method":[113],"mine":[116],"search-engine":[118],"logs":[119],"users":[123],"performing":[124],"similar":[125],"leverage":[132],"their":[133],"on-task":[134,181],"behavior":[135,182],"identify":[137],"Web":[138],"pages":[139],"promote":[141],"ranking.":[145],"investigate":[147],"effectiveness":[149],"this":[151],"versus":[153,167],"query-based":[154],"matching":[155],"related":[158],"activity":[160],"from":[161],"(i.e.,":[165],"group":[166],"individual).":[168],"As":[169],"part":[170],"our":[172],"studies":[173],"also":[175],"explore":[176],"use":[178],"particular":[184],"cohorts,":[186],"such":[187],"people":[189],"who":[190],"are":[191],"expert":[192],"topic":[195],"currently":[196],"searched,":[198],"rather":[199],"than":[200],"users.":[203],"Our":[204],"yields":[206],"promising":[207],"gains":[208],"retrieval":[210],"performance,":[211],"has":[213],"direct":[214],"implications":[215],"improving":[217],"systems.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
