{"id":"https://openalex.org/W1982304915","doi":"https://doi.org/10.1145/1871437.1871530","title":"FACeTOR","display_name":"FACeTOR","publication_year":2010,"publication_date":"2010-10-26","ids":{"openalex":"https://openalex.org/W1982304915","doi":"https://doi.org/10.1145/1871437.1871530","mag":"1982304915"},"language":"en","primary_location":{"id":"doi:10.1145/1871437.1871530","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","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/A5006306262","display_name":"Abhijith Kashyap","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhijith Kashyap","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo, NY, USA","State University of New York at Buffalo , Buffalo , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"State University of New York at Buffalo , Buffalo , NY , USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113814074","display_name":"Vagelis Hristidis","orcid":"https://orcid.org/0000-0001-8679-4988"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vagelis Hristidis","raw_affiliation_strings":["Florida International University, Miami, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027125531","display_name":"Michalis Petropoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michalis Petropoulos","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo, NY, USA","State University of New York at Buffalo , Buffalo , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"State University of New York at Buffalo , Buffalo , NY , USA","institution_ids":["https://openalex.org/I63190737"]}]}],"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":63,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"719","last_page":"728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9988999962806702,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8226699829101562},{"id":"https://openalex.org/keywords/facet","display_name":"Facet (psychology)","score":0.6505749821662903},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6383519172668457},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5436813235282898},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.49974846839904785},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44362491369247437},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40357327461242676},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.33622869849205017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16058868169784546},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13067016005516052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8226699829101562},{"id":"https://openalex.org/C43122875","wikidata":"https://www.wikidata.org/wiki/Q5428522","display_name":"Facet (psychology)","level":4,"score":0.6505749821662903},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6383519172668457},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5436813235282898},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.49974846839904785},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44362491369247437},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40357327461242676},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.33622869849205017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16058868169784546},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13067016005516052},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1871437.1871530","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1517178556","https://openalex.org/W1534412368","https://openalex.org/W1660390307","https://openalex.org/W1967654850","https://openalex.org/W2030412583","https://openalex.org/W2036385401","https://openalex.org/W2047260110","https://openalex.org/W2053606794","https://openalex.org/W2070032453","https://openalex.org/W2081748524","https://openalex.org/W2100502029","https://openalex.org/W2108898822","https://openalex.org/W2110019277","https://openalex.org/W2116705992","https://openalex.org/W2118322263","https://openalex.org/W2125969310","https://openalex.org/W2126256512","https://openalex.org/W2130476464","https://openalex.org/W2136121557","https://openalex.org/W2145343070","https://openalex.org/W2148942721","https://openalex.org/W2157054705","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2095118173","https://openalex.org/W2382021449","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2768810474","https://openalex.org/W2374460478"],"abstract_inverted_index":{"Faceted":[0],"navigation":[1,106,135,161],"is":[2,88,108,113,137,207],"being":[3],"increasingly":[4],"employed":[5,145],"as":[6],"an":[7,191],"effective":[8],"technique":[9,19],"for":[10],"exploring":[11],"large":[12],"query":[13,27,44,48],"results":[14,28,189],"on":[15,64,195],"structured":[16],"databases.":[17],"This":[18],"of":[20,25,53,83,93,127,181,190,198],"mitigating":[21],"information-overload":[22],"leverages":[23],"metadata":[24],"the":[26,42,47,51,62,65,69,84,86,103,125,129,159,165,179,188,196,199],"to":[29,39,77,115,164],"provide":[30],"users":[31],"with":[32,90],"facet":[33,54,96,120,131],"conditions":[34,55,97,132],"that":[35,72,98,102,124,156],"can":[36,56],"be":[37,57,116],"used":[38],"progressively":[40],"refine":[41],"user's":[43],"and":[45,110,139,169],"filter":[46],"results.":[49],"However,":[50],"number":[52],"quite":[58],"large,":[59],"thereby":[60],"increasing":[61],"burden":[63],"user.":[66],"We":[67,122,185],"present":[68,141,187],"FACeTOR":[70,157,206],"system":[71],"proposes":[73],"a":[74,91,119],"cost-based":[75],"approach":[76,201],"faceted":[78,171],"navigation.":[79],"At":[80],"each":[81,134],"step":[82,136],"navigation,":[85],"user":[87,149,160,175],"presented":[89],"subset":[92],"all":[94],"possible":[95],"are":[99],"selected":[100],"such":[101],"overall":[104],"expected":[105],"cost":[107,183],"minimized":[109],"every":[111],"result":[112],"guaranteed":[114],"reachable":[117],"by":[118,146],"condition.":[121],"prove":[123],"problem":[126],"selecting":[128],"optimal":[130],"at":[133,151,209],"NP-Hard,":[138],"subsequently":[140],"two":[142,203],"intuitive":[143],"heuristics":[144],"FACeTOR.":[147],"Our":[148],"study":[150,176],"Amazon":[152],"Mechanical":[153],"Turk":[154],"shows":[155],"reduces":[158],"time":[162],"compared":[163],"cutting":[166],"edge":[167],"commercial":[168],"academic":[170],"search":[172],"algorithms.":[173],"The":[174],"also":[177,186],"confirms":[178],"validity":[180],"our":[182],"model.":[184],"extensive":[192],"experimental":[193],"evaluation":[194],"performance":[197],"proposed":[200],"using":[202],"real":[204],"datasets.":[205],"available":[208],"http://db.cse.buffalo.edu/facetor/.":[210]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}