{"id":"https://openalex.org/W2137521756","doi":"https://doi.org/10.1145/2600428.2609604","title":"Context-aware web search abandonment prediction","display_name":"Context-aware web search abandonment prediction","publication_year":2014,"publication_date":"2014-07-03","ids":{"openalex":"https://openalex.org/W2137521756","doi":"https://doi.org/10.1145/2600428.2609604","mag":"2137521756"},"language":"en","primary_location":{"id":"doi:10.1145/2600428.2609604","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2600428.2609604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th international ACM SIGIR conference on Research &amp; development in information retrieval","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/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":true,"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/A5101666398","display_name":"Xiaolin Shi","orcid":"https://orcid.org/0000-0002-3705-1552"},"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":"Xiaolin Shi","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft Redmond, WA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Redmond, WA, USA#TAB#","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 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/A5021000040","display_name":"Ahmed Hassan Awadallah","orcid":"https://orcid.org/0000-0001-6426-3537"},"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 Awadallah","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100688422"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":14.8123,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.98675891,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9983999729156494,"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/T10028","display_name":"Topic Modeling","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/abandonment","display_name":"Abandonment (legal)","score":0.8928816318511963},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8008397817611694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7875776886940002},{"id":"https://openalex.org/keywords/hyperlink","display_name":"Hyperlink","score":0.6952638626098633},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6014888286590576},{"id":"https://openalex.org/keywords/user-information","display_name":"User information","score":0.45213714241981506},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4492921233177185},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4339287579059601},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.42942214012145996},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4213179051876068},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34031152725219727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3269474506378174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3226391673088074},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.26594096422195435},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.20867770910263062},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08120790123939514}],"concepts":[{"id":"https://openalex.org/C2779816988","wikidata":"https://www.wikidata.org/wiki/Q305418","display_name":"Abandonment (legal)","level":2,"score":0.8928816318511963},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8008397817611694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875776886940002},{"id":"https://openalex.org/C30088001","wikidata":"https://www.wikidata.org/wiki/Q102014","display_name":"Hyperlink","level":3,"score":0.6952638626098633},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6014888286590576},{"id":"https://openalex.org/C2777622855","wikidata":"https://www.wikidata.org/wiki/Q7901844","display_name":"User information","level":3,"score":0.45213714241981506},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4492921233177185},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4339287579059601},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.42942214012145996},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4213179051876068},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34031152725219727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3269474506378174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3226391673088074},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.26594096422195435},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.20867770910263062},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08120790123939514},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical 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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2600428.2609604","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2600428.2609604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th international ACM SIGIR conference on Research &amp; 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":27,"referenced_works":["https://openalex.org/W116490669","https://openalex.org/W1536616638","https://openalex.org/W1584801809","https://openalex.org/W1975061045","https://openalex.org/W1978513819","https://openalex.org/W2008251177","https://openalex.org/W2024046085","https://openalex.org/W2032691242","https://openalex.org/W2047221353","https://openalex.org/W2083266199","https://openalex.org/W2096946253","https://openalex.org/W2100709351","https://openalex.org/W2114418126","https://openalex.org/W2116435975","https://openalex.org/W2119074598","https://openalex.org/W2120889650","https://openalex.org/W2123958332","https://openalex.org/W2135565673","https://openalex.org/W2139686264","https://openalex.org/W2148547984","https://openalex.org/W2150263845","https://openalex.org/W2152314154","https://openalex.org/W2153636676","https://openalex.org/W2154792348","https://openalex.org/W2162059449","https://openalex.org/W2181464929","https://openalex.org/W2429914308"],"related_works":["https://openalex.org/W4386146682","https://openalex.org/W3153198126","https://openalex.org/W2384033143","https://openalex.org/W2966093180","https://openalex.org/W2379609820","https://openalex.org/W658063761","https://openalex.org/W586688190","https://openalex.org/W2607722507","https://openalex.org/W2397133026","https://openalex.org/W1525584714"],"abstract_inverted_index":{"Web":[0],"search":[1,21,104,108],"queries":[2,116],"without":[3],"hyperlink":[4],"clicks":[5],"are":[6,41],"often":[7],"referred":[8],"to":[9,51,62,125,136,164],"as":[10,31,77],"abandoned":[11,82,115],"queries.":[12],"Understanding":[13],"the":[14,78,81,152,161],"reasons":[15],"for":[16,20,93],"abandonment":[17,53,86,97],"is":[18,147],"crucial":[19],"engines":[22],"in":[23],"evaluating":[24],"their":[25],"performance.":[26],"Abandonment":[27],"can":[28],"be":[29],"categorized":[30],"good":[32,172],"or":[33,58],"bad":[34,174],"depending":[35],"on":[36],"whether":[37],"user":[38,56,103,118],"information":[39,101],"needs":[40],"satisfied":[42],"by":[43,106],"result":[44],"page":[45],"content.":[46],"Previous":[47],"research":[48],"has":[49,59],"sought":[50],"understand":[52],"rationales":[54,65,98],"via":[55],"surveys,":[57],"developed":[60],"models":[61,71],"predict":[63],"those":[64],"using":[66,99,130,168],"behavioral":[67],"patterns.":[68],"However,":[69],"these":[70,122],"ignore":[72],"important":[73],"contextual":[74,100],"factors":[75],"such":[76,138],"relationship":[79],"between":[80,114],"query":[83],"and":[84,95,111,117,173],"prior":[85],"instances.":[87],"We":[88,120],"propose":[89],"more":[90,149],"advanced":[91],"methods":[92],"modeling":[94],"predicting":[96],"from":[102],"sessions":[105],"analyzing":[107],"engine":[109],"logs,":[110],"discover":[112],"dependencies":[113],"behaviors.":[119],"leverage":[121,160],"dependency":[123],"signals":[124],"build":[126],"a":[127,131],"sequential":[128],"classifier":[129],"structured":[132],"learning":[133],"framework":[134],"designed":[135],"handle":[137],"signals.":[139],"Our":[140],"experimental":[141],"results":[142,163],"show":[143],"that":[144],"our":[145],"approach":[146],"22%":[148],"accurate":[150],"than":[151],"state-of-the-art":[153],"abandonment-rationale":[154],"classifier.":[155],"Going":[156],"beyond":[157],"prediction,":[158],"we":[159],"prediction":[162],"significantly":[165],"improve":[166],"relevance":[167],"instances":[169],"of":[170],"predicted":[171],"abandonment.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
