{"id":"https://openalex.org/W2084202042","doi":"https://doi.org/10.1145/1363686.1364174","title":"Whom should I trust?","display_name":"Whom should I trust?","publication_year":2008,"publication_date":"2008-03-16","ids":{"openalex":"https://openalex.org/W2084202042","doi":"https://doi.org/10.1145/1363686.1364174","mag":"2084202042"},"language":"en","primary_location":{"id":"doi:10.1145/1363686.1364174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1364174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","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/A5109877539","display_name":"Patricia Victor","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Patricia Victor","raw_affiliation_strings":["Appl Math & CS UGent, Gent, Belgium","Appl Math & CS UGent, Gent, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"Appl Math & CS UGent, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Appl Math & CS UGent, Gent, Belgium#TAB#","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091486233","display_name":"Chris Cornelis","orcid":"https://orcid.org/0000-0002-6852-4041"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Chris Cornelis","raw_affiliation_strings":["Appl Math & CS UGent, Gent, Belgium","Appl Math & CS UGent, Gent, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"Appl Math & CS UGent, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Appl Math & CS UGent, Gent, Belgium#TAB#","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061359226","display_name":"Ankur Teredesai","orcid":"https://orcid.org/0000-0002-2112-5895"},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankur M. Teredesai","raw_affiliation_strings":["Institute of Technology UW Tacoma, Tacoma, WA"],"affiliations":[{"raw_affiliation_string":"Institute of Technology UW Tacoma, Tacoma, WA","institution_ids":["https://openalex.org/I4210150356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056749857","display_name":"Martine De Cock","orcid":"https://orcid.org/0000-0001-7917-0771"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Martine De Cock","raw_affiliation_strings":["Appl Math & CS UGent, Gent, Belgium","Appl Math & CS UGent, Gent, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"Appl Math & CS UGent, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Appl Math & CS UGent, Gent, Belgium#TAB#","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109877539"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":10.9975,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.97990671,"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":"2014","last_page":"2018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":0.9926999807357788,"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":0.9904999732971191,"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/leverage","display_name":"Leverage (statistics)","score":0.8532929420471191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7586694955825806},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7221187949180603},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6997924447059631},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.696126401424408},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.552889347076416},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5097469687461853},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4561523497104645},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3576582372188568},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33470624685287476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21394357085227966},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17035430669784546},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.13406261801719666}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8532929420471191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7586694955825806},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7221187949180603},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6997924447059631},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.696126401424408},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.552889347076416},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5097469687461853},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4561523497104645},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3576582372188568},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33470624685287476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21394357085227966},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17035430669784546},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.13406261801719666},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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:10.1145/1363686.1364174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1364174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W45952787","https://openalex.org/W1725202765","https://openalex.org/W1939407039","https://openalex.org/W1971040550","https://openalex.org/W2002791523","https://openalex.org/W2029507558","https://openalex.org/W2133726923","https://openalex.org/W2144780381","https://openalex.org/W2155106456","https://openalex.org/W2158515176","https://openalex.org/W2341865734","https://openalex.org/W2562032594","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4376854386","https://openalex.org/W1966742602"],"abstract_inverted_index":{"Generating":[0],"adequate":[1],"recommendations":[2,134],"for":[3,9,135],"newcomers":[4,85],"is":[5,81],"a":[6,10,32,120,125,151],"hard":[7],"problem":[8],"recommender":[11],"system":[12],"(RS)":[13],"due":[14],"to":[15,54,56,83,144,150],"lack":[16],"of":[17,31,38,119],"detailed":[18],"user":[19,137],"profiles":[20],"and":[21,107,110,117],"social":[22],"preference":[23],"data.":[24],"Empirical":[25],"evidence":[26],"suggests":[27],"that":[28,131],"the":[29,36,39,57,71,77,100,115,132],"incorporation":[30],"trust":[33,101],"network":[34,58,102],"among":[35],"users":[37,50,67],"RS":[40],"can":[41],"leverage":[42],"such":[43],"'cold":[44],"start'":[45],"(CS)":[46],"recommendations.":[47],"Hence,":[48],"new":[49,66,136],"should":[51,65],"be":[52],"encouraged":[53],"connect":[55,68,143],"as":[59,61],"soon":[60],"possible.":[62],"But":[63],"whom":[64],"to?":[69],"Given":[70],"impact":[72],"this":[73,87,93],"choice":[74],"has":[75],"on":[76,114],"delivered":[78],"recommendations,":[79],"it":[80],"critical":[82],"guide":[84],"through":[86],"early":[88],"stage":[89],"connection":[90],"process.":[91],"In":[92],"paper,":[94],"we":[95,129],"identify":[96],"key":[97,147],"figures":[98],"in":[99],"(in":[103],"particular":[104],"mavens,":[105],"connectors":[106],"frequent":[108],"raters)":[109],"investigate":[111],"their":[112],"influence":[113],"coverage":[116],"accuracy":[118],"collaborative":[121],"filtering":[122],"RS.":[123],"Using":[124],"dataset":[126],"from":[127],"Epinions.com,":[128],"demonstrate":[130],"generated":[133],"are":[138],"more":[139],"beneficial":[140],"if":[141],"they":[142],"an":[145],"identified":[146],"figure":[148],"compared":[149],"random":[152],"user.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}