{"id":"https://openalex.org/W2039281672","doi":"https://doi.org/10.1145/2464464.2464470","title":"Simultaneously detecting fake reviews and review spammers using factor graph model","display_name":"Simultaneously detecting fake reviews and review spammers using factor graph model","publication_year":2013,"publication_date":"2013-05-02","ids":{"openalex":"https://openalex.org/W2039281672","doi":"https://doi.org/10.1145/2464464.2464470","mag":"2039281672"},"language":"en","primary_location":{"id":"doi:10.1145/2464464.2464470","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2464464.2464470","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Annual ACM Web Science Conference","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/A5012401537","display_name":"Yuqing Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuqing Lu","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434028","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0003-2343-084X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111789821","display_name":"Yudong Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yudong Xiao","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028491176","display_name":"Yangguang Li","orcid":"https://orcid.org/0000-0002-9696-8192"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangguang Li","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012401537"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.6627,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.95683697,"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":"225","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","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/T11644","display_name":"Spam and Phishing Detection","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9969000220298767,"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/spamming","display_name":"Spamming","score":0.9485155344009399},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7448586225509644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7233661413192749},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5125429630279541},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5069644451141357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4770214557647705},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4680195748806},{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.4637487530708313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4145231544971466},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4071052670478821},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3261457085609436},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3213551640510559},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22987958788871765},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22782397270202637},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.15445592999458313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15336471796035767}],"concepts":[{"id":"https://openalex.org/C158955206","wikidata":"https://www.wikidata.org/wiki/Q83058","display_name":"Spamming","level":3,"score":0.9485155344009399},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7448586225509644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7233661413192749},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5125429630279541},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5069644451141357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4770214557647705},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4680195748806},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.4637487530708313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4145231544971466},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4071052670478821},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3261457085609436},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3213551640510559},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22987958788871765},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22782397270202637},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.15445592999458313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15336471796035767},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2464464.2464470","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2464464.2464470","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Annual ACM Web Science Conference","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":31,"referenced_works":["https://openalex.org/W24664060","https://openalex.org/W106005634","https://openalex.org/W1775665607","https://openalex.org/W2004858782","https://openalex.org/W2021515354","https://openalex.org/W2047756776","https://openalex.org/W2051434435","https://openalex.org/W2059640750","https://openalex.org/W2068796797","https://openalex.org/W2081375810","https://openalex.org/W2089124807","https://openalex.org/W2103063352","https://openalex.org/W2107559689","https://openalex.org/W2112213600","https://openalex.org/W2115023510","https://openalex.org/W2118942057","https://openalex.org/W2128509431","https://openalex.org/W2131795306","https://openalex.org/W2137813581","https://openalex.org/W2137974413","https://openalex.org/W2155186673","https://openalex.org/W2155328222","https://openalex.org/W2159359879","https://openalex.org/W2160660844","https://openalex.org/W2166706824","https://openalex.org/W2170641288","https://openalex.org/W2886362482","https://openalex.org/W2949957935","https://openalex.org/W3146306708","https://openalex.org/W6604315852","https://openalex.org/W6680611640"],"related_works":["https://openalex.org/W1987732684","https://openalex.org/W2286465138","https://openalex.org/W637393809","https://openalex.org/W2808742736","https://openalex.org/W1526983901","https://openalex.org/W3021299372","https://openalex.org/W2184211279","https://openalex.org/W2346278349","https://openalex.org/W3139094847","https://openalex.org/W2008347539"],"abstract_inverted_index":{"Review":[0,75],"spamming":[1],"is":[2,37,79],"quite":[3],"common":[4],"on":[5],"many":[6],"online":[7],"shopping":[8],"platforms":[9],"like":[10],"Amazon.":[11],"Previous":[12],"attempts":[13],"for":[14],"fake":[15,43],"review":[16,27,46,71],"and":[17,26,45,72,86,93,114],"spammer":[18],"detection":[19],"use":[20],"features":[21,67,85],"of":[22,33,41,103],"reviewer":[23],"behavior,":[24],"rating,":[25],"content.":[28],"However,":[29],"to":[30,59,68,81,87,111],"the":[31,49,61,84,104],"best":[32],"our":[34,99],"knowledge,":[35],"there":[36],"no":[38],"work":[39],"capable":[40],"detecting":[42],"reviews":[44,92],"spammers":[47],"at":[48],"same":[50],"time.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"an":[57],"algorithm":[58,100],"achieve":[60],"two":[62],"goals":[63],"simultaneously.":[64],"By":[65],"defining":[66],"describe":[69],"each":[70],"reviewer,":[73],"a":[74],"Factor":[76],"Graph":[77],"model":[78],"proposed":[80],"incorporate":[82],"all":[83,102],"leverage":[88],"belief":[89],"propagation":[90],"between":[91],"reviewers.":[94],"Experimental":[95],"results":[96],"show":[97],"that":[98],"outperforms":[101],"other":[105],"baseline":[106],"methods":[107],"significantly":[108],"with":[109],"respect":[110],"both":[112],"efficiency":[113],"accuracy.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}