{"id":"https://openalex.org/W1968528267","doi":"https://doi.org/10.1145/1277741.1277894","title":"Characterizing the value of personalizing search","display_name":"Characterizing the value of personalizing search","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W1968528267","doi":"https://doi.org/10.1145/1277741.1277894","mag":"1968528267"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277894","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and 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/A5032417423","display_name":"Jaime Teevan","orcid":"https://orcid.org/0000-0002-2786-0209"},"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":"Jaime Teevan","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","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 Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043228682","display_name":"Eric Horvitz","orcid":"https://orcid.org/0000-0002-8823-0614"},"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":"Eric Horvitz","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032417423"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":14.2417,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.9853663,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"757","last_page":"758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9955999851226807,"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":0.9955999851226807,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9395999908447266,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.916100025177002,"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/value","display_name":"Value (mathematics)","score":0.6334213018417358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.549466609954834},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3377647399902344},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11428037285804749}],"concepts":[{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.6334213018417358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.549466609954834},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3377647399902344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11428037285804749}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1277741.1277894","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W30313844","https://openalex.org/W1982451429","https://openalex.org/W1985554184","https://openalex.org/W2122288895","https://openalex.org/W2149600263","https://openalex.org/W4251560691"],"related_works":["https://openalex.org/W2357241418","https://openalex.org/W2086064646","https://openalex.org/W2119135658","https://openalex.org/W2115485936","https://openalex.org/W3022131925","https://openalex.org/W2349174110","https://openalex.org/W1597238586","https://openalex.org/W1536405386","https://openalex.org/W2326857978","https://openalex.org/W1990780094"],"abstract_inverted_index":{"We":[0,29],"investigate":[1],"the":[2,11,19,31,47,56,62],"diverse":[3],"goals":[4],"that":[5,49,71],"people":[6],"have":[7],"when":[8,61],"they":[9,86],"issue":[10],"same":[12,57,63],"query":[13,58],"to":[14,25,82],"a":[15,76,90],"search":[16,23,36,73],"engine,":[17],"and":[18],"ability":[20],"of":[21,34,79],"current":[22],"engines":[24,74],"address":[26],"such":[27],"diversity.":[28],"quantify":[30],"potential":[32],"value":[33],"personalizing":[35],"results":[37,48,81],"based":[38],"on":[39],"this":[40],"analysis.":[41],"Great":[42],"variance":[43],"was":[44,66],"found":[45],"in":[46],"different":[50],"individuals":[51],"rated":[52],"as":[53],"relevant":[54],"for":[55,94],"--":[59],"even":[60],"information":[64],"goal":[65],"expressed.":[67],"Our":[68],"analysis":[69],"suggests":[70],"while":[72],"do":[75,87,89],"good":[77,92],"job":[78,93],"ranking":[80],"maximize":[83],"global":[84],"happiness,":[85],"not":[88],"very":[91],"specific":[95],"individuals.":[96]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
