{"id":"https://openalex.org/W1951891667","doi":"https://doi.org/10.1145/2488388.2488507","title":"Learning to extract cross-session search tasks","display_name":"Learning to extract cross-session search tasks","publication_year":2013,"publication_date":"2013-05-13","ids":{"openalex":"https://openalex.org/W1951891667","doi":"https://doi.org/10.1145/2488388.2488507","mag":"1951891667"},"language":"en","primary_location":{"id":"doi:10.1145/2488388.2488507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2488388.2488507","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/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":true,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"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":"middle","author":{"id":"https://openalex.org/A5076904467","display_name":"Ming\u2010Wei Chang","orcid":"https://orcid.org/0000-0002-0137-8895"},"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":"Ming-Wei Chang","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/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":false,"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":"last","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","Microsoft Bing, Bellevue, WA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Bing, Bellevue, WA, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210108985"]},{"raw_affiliation_string":"Microsoft Bing, Bellevue, WA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085094109"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":25.3912,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.99365312,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1353","last_page":"1364"},"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":0.996999979019165,"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":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.8201202154159546},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.8102457523345947},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6004450917243958},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5533803701400757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5091132521629333},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5067022442817688},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5045713186264038},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.43710771203041077},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3807358145713806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35932594537734985},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17514479160308838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8201202154159546},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8102457523345947},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6004450917243958},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5533803701400757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5091132521629333},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5067022442817688},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5045713186264038},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.43710771203041077},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3807358145713806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35932594537734985},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17514479160308838},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2488388.2488507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2488388.2488507","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W66690650","https://openalex.org/W178113997","https://openalex.org/W1536616638","https://openalex.org/W1975409939","https://openalex.org/W1982889956","https://openalex.org/W1982896842","https://openalex.org/W1985844568","https://openalex.org/W1992419399","https://openalex.org/W2034927834","https://openalex.org/W2098345921","https://openalex.org/W2099513082","https://openalex.org/W2104255729","https://openalex.org/W2112769706","https://openalex.org/W2113363259","https://openalex.org/W2134089414","https://openalex.org/W2134131174","https://openalex.org/W2140387367","https://openalex.org/W2147196093","https://openalex.org/W2149029960","https://openalex.org/W2150263845","https://openalex.org/W2154785834","https://openalex.org/W2156909104","https://openalex.org/W2158450083","https://openalex.org/W2170741935","https://openalex.org/W2970113856"],"related_works":["https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W4404605447","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782","https://openalex.org/W1559289099"],"abstract_inverted_index":{"Search":[0],"tasks,":[1],"comprising":[2],"a":[3,40,94,117,149],"series":[4],"of":[5,62,96,110,127,139,153,164],"search":[6,25,37,42,66,119,134,155,158],"queries":[7],"serving":[8],"the":[9,60,88,108,125,128,137,140,162],"same":[10],"information":[11],"need,":[12],"have":[13],"recently":[14],"been":[15],"recognized":[16],"as":[17,103],"an":[18],"accurate":[19],"atomic":[20],"unit":[21],"for":[22,50,168],"modeling":[23],"user":[24],"intent.":[26],"Most":[27],"prior":[28],"research":[29],"in":[30,131],"this":[31,56],"area":[32],"has":[33],"focused":[34],"on":[35,47,87,116],"short-term":[36],"tasks":[38,67,135],"within":[39],"single":[41],"session,":[43],"and":[44,93,136,160],"heavily":[45],"depend":[46],"human":[48],"annotations":[49],"supervised":[51],"classification":[52],"model":[53,83,130,147],"learning.":[54],"In":[55],"work,":[57],"we":[58],"target":[59],"identification":[61],"long-term,":[63],"or":[64],"cross-session,":[65],"(transcending":[68],"session":[69],"boundaries)":[70],"by":[71],"investigating":[72],"inter-query":[73],"dependencies":[74],"learned":[75,146],"from":[76,122],"users'":[77,154],"searching":[78],"behaviors.":[79],"A":[80],"semi-supervised":[81],"clustering":[82],"is":[84],"proposed":[85,102,129],"based":[86,115],"latent":[89],"structural":[90],"SVM":[91],"framework,":[92],"set":[95],"effective":[97],"automatic":[98],"annotation":[99],"rules":[100],"are":[101],"weak":[104,142],"supervision":[105,143],"to":[106],"release":[107],"burden":[109],"manual":[111],"annotation.":[112],"Experimental":[113],"results":[114],"large-scale":[118],"log":[120],"collected":[121],"Bing.com":[123],"confirms":[124],"effectiveness":[126],"identifying":[132],"cross-session":[133],"utility":[138],"introduced":[141],"signals.":[144],"Our":[145],"enables":[148],"more":[150],"comprehensive":[151],"understanding":[152],"behaviors":[156],"via":[157],"logs":[159],"facilitates":[161],"development":[163],"dedicated":[165],"search-engine":[166],"support":[167],"long-term":[169],"tasks.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":7}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}