{"id":"https://openalex.org/W2740337323","doi":"https://doi.org/10.1145/3077136.3080669","title":"Improving Search Engines via Large-Scale Physiological Sensing","display_name":"Improving Search Engines via Large-Scale Physiological Sensing","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2740337323","doi":"https://doi.org/10.1145/3077136.3080669","mag":"2740337323"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3080669","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th 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/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"]},{"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"]},{"id":"https://openalex.org/I4210145658","display_name":"Cortana (United States)","ror":"https://ror.org/046ftar42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145658"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryen W. White","raw_affiliation_strings":["Microsoft Cortana, Bellevue, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Cortana, Bellevue, WA, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210108985","https://openalex.org/I4210145658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008246824","display_name":"Ryan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ryan Ma","raw_affiliation_strings":["Microsoft Bing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Bing, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7685,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67697757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"881","last_page":"884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9557999968528748,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7488133907318115},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7228383421897888},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.691236674785614},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.584751546382904},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5764015316963196},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5288870334625244},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.526367723941803},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.465375155210495},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45990559458732605},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.41770288348197937},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36578208208084106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07071179151535034},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06531944870948792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488133907318115},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7228383421897888},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.691236674785614},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.584751546382904},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5764015316963196},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5288870334625244},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.526367723941803},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.465375155210495},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45990559458732605},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.41770288348197937},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36578208208084106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07071179151535034},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06531944870948792},{"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3077136.3080669","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1508378045","https://openalex.org/W1975911018","https://openalex.org/W1982666595","https://openalex.org/W2007750197","https://openalex.org/W2018097218","https://openalex.org/W2047221353","https://openalex.org/W2054780155","https://openalex.org/W2069870183","https://openalex.org/W2072995952","https://openalex.org/W2084814177","https://openalex.org/W2123937625","https://openalex.org/W2135500808","https://openalex.org/W2143445498","https://openalex.org/W2158450083","https://openalex.org/W2162059449","https://openalex.org/W2171806843","https://openalex.org/W2340380384","https://openalex.org/W2582919740","https://openalex.org/W2768529588"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W2106071040","https://openalex.org/W4312133475","https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W2041353081","https://openalex.org/W2367099342"],"abstract_inverted_index":{"Result":[0],"ranking":[1,136],"in":[2,86,113,130],"commercial":[3],"web":[4,19,134],"search":[5,115,135,156],"engines":[6],"is":[7],"based":[8],"on":[9,18,94,154],"a":[10,59,114,131],"wide":[11],"array":[12],"of":[13,38,45,110,120],"signals,":[14],"from":[15,30,147],"keywords":[16],"appearing":[17],"pages":[20],"to":[21],"behavioral":[22],"(clickthrough)":[23],"data":[24,47,63],"aggregated":[25],"across":[26],"many":[27,67],"users":[28],"or":[29],"the":[31,43,155],"current":[32],"user":[33,111],"only.":[34],"The":[35],"recent":[36],"emergence":[37],"wearable":[39],"devices":[40],"has":[41],"enabled":[42],"collection":[44],"physiological":[46,149],"such":[48],"as":[49,83,127],"heart":[50,95,105,121,124],"rate,":[51,122],"skin":[52,56],"temperature,":[53],"and":[54,81,97,107],"galvanic":[55],"response":[57],"at":[58],"population":[60],"scale.":[61],"These":[62],"are":[64,101],"useful":[65],"for":[66],"public":[68],"health":[69],"tasks,":[70],"but":[71],"they":[72,84],"may":[73],"also":[74],"provide":[75],"novel":[76],"clues":[77],"about":[78],"people's":[79],"interests":[80],"intentions":[82],"engage":[85],"online":[87],"activities.":[88],"In":[89],"this":[90,148],"paper,":[91],"we":[92,141],"focus":[93],"rate":[96,106,125],"show":[98,139],"that":[99,140,151],"there":[100],"strong":[102],"relationships":[103],"between":[104],"various":[108],"measures":[109],"interest":[112],"result.":[116],"We":[117,138],"integrate":[118],"features":[119],"including":[123],"dynamics,":[126],"additional":[128],"attributes":[129],"competitive":[132],"machine-learned":[133],"algorithm.":[137],"can":[142],"obtain":[143],"significant":[144],"relevance":[145],"improvements":[146],"sensing":[150],"vary":[152],"depending":[153],"topic.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
