{"id":"https://openalex.org/W2168225578","doi":"https://doi.org/10.1145/2009916.2009964","title":"Why searchers switch","display_name":"Why searchers switch","publication_year":2011,"publication_date":"2011-07-24","ids":{"openalex":"https://openalex.org/W2168225578","doi":"https://doi.org/10.1145/2009916.2009964","mag":"2168225578"},"language":"en","primary_location":{"id":"doi:10.1145/2009916.2009964","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2009916.2009964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032152448","display_name":"Qi Guo","orcid":"https://orcid.org/0000-0001-9198-2270"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Guo","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"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 Corporation, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046162565","display_name":"Yunqiao Zhang","orcid":null},"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":"Yunqiao Zhang","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107722843","display_name":"Blake Anderson","orcid":"https://orcid.org/0000-0002-4956-6721"},"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":"Blake Anderson","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111638399","display_name":"Susan Dumais","orcid":null},"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":"Susan T. Dumais","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9968000054359436,"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":0.9968000054359436,"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":0.9947999715805054,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7807003855705261},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.7380201816558838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7009677886962891},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6491999626159668},{"id":"https://openalex.org/keywords/search-analytics","display_name":"Search analytics","score":0.4433441162109375},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3471553325653076},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26913613080978394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14798381924629211},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.12302011251449585}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7807003855705261},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.7380201816558838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009677886962891},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6491999626159668},{"id":"https://openalex.org/C14838553","wikidata":"https://www.wikidata.org/wiki/Q7441639","display_name":"Search analytics","level":4,"score":0.4433441162109375},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3471553325653076},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26913613080978394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14798381924629211},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.12302011251449585}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2009916.2009964","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2009916.2009964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1551193932","https://openalex.org/W1590698834","https://openalex.org/W1663973292","https://openalex.org/W1967907280","https://openalex.org/W2007750197","https://openalex.org/W2009086942","https://openalex.org/W2020237802","https://openalex.org/W2069729728","https://openalex.org/W2079168273","https://openalex.org/W2087818911","https://openalex.org/W2096946253","https://openalex.org/W2104217798","https://openalex.org/W2105085809","https://openalex.org/W2115863716","https://openalex.org/W2123937625","https://openalex.org/W2124318441","https://openalex.org/W2129343152","https://openalex.org/W2130900715","https://openalex.org/W2137366811","https://openalex.org/W2137502531","https://openalex.org/W2139873966","https://openalex.org/W2152171734","https://openalex.org/W2154347386","https://openalex.org/W2164777277","https://openalex.org/W2168572533","https://openalex.org/W4285719527","https://openalex.org/W6629510986"],"related_works":["https://openalex.org/W2541377119","https://openalex.org/W2576831414","https://openalex.org/W3100478181","https://openalex.org/W4372346753","https://openalex.org/W2062919806","https://openalex.org/W2374021970","https://openalex.org/W2348885786","https://openalex.org/W2105610009","https://openalex.org/W4244545289","https://openalex.org/W2153030345"],"abstract_inverted_index":{"Search":[0],"engine":[1,67],"switching":[2,12,43,68,78,119,139,150,176,190],"is":[3],"the":[4,50,55,63,74,99,111,118,128,170,199],"voluntary":[5],"transition":[6],"between":[7,113,172],"Web":[8],"search":[9,24,46,51,66,163,173,200],"engines.":[10],"Engine":[11],"can":[13,148,193],"occur":[14],"for":[15,28,130],"a":[16,26,70,106,152,166],"number":[17],"of":[18,42,76,138,189],"reasons,":[19],"including":[20],"user":[21,34],"dissatisfaction":[22],"with":[23],"results,":[25],"desire":[27],"broader":[29],"topic":[30],"coverage":[31],"or":[32,36],"verification,":[33],"preferences,":[35],"even":[37],"unintentionally.":[38],"An":[39],"improved":[40],"understanding":[41],"rationales":[44,79,140],"allows":[45],"providers":[47],"to":[48,54,86,126,185,196],"tailor":[49],"experience":[52,201],"according":[53],"different":[56],"causes.":[57],"In":[58,132],"this":[59,93],"paper":[60],"we":[61,95,134,147],"study":[62,110],"reasons":[64,100,129],"behind":[65],"within":[69,105],"session.":[71,107],"We":[72,108],"address":[73],"challenge":[75],"identifying":[77],"by":[80,141],"designing":[81],"and":[82,117,121,123,144,168,175,202],"implementing":[83],"client-side":[84],"instrumentation":[85],"acquire":[87],"in-situ":[88],"feedbacks":[89],"from":[90],"users.":[91],"Using":[92],"feedback,":[94],"investigate":[96],"in":[97,165],"detail":[98],"that":[101,146],"users":[102,161],"switch":[103,162],"engines":[104,164],"also":[109,180],"relationship":[112,171],"implicit":[114],"behavioral":[115,183],"signals":[116],"causes,":[120],"develop":[122],"evaluate":[124],"models":[125],"predict":[127],"switching.":[131],"addition,":[133],"collect":[135],"editorial":[136],"judgments":[137],"third-party":[142],"judges":[143],"show":[145],"recover":[149],"causes":[151],"posteriori.":[153],"Our":[154],"findings":[155,179],"provide":[156],"valuable":[157],"insights":[158],"into":[159],"why":[160],"session":[167],"demonstrate":[169],"behavior":[174],"motivations.":[177],"The":[178],"reveal":[181],"sufficient":[182],"consistency":[184],"afford":[186],"accurate":[187,205],"prediction":[188],"rationale,":[191],"which":[192],"be":[194],"used":[195],"dynamically":[197],"adapt":[198],"derive":[203],"more":[204],"competitive":[206],"metrics.":[207]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}