{"id":"https://openalex.org/W4200515219","doi":"https://doi.org/10.3233/jifs-210123","title":"NCGAN:A neural adversarial collaborative filtering for recommender system","display_name":"NCGAN:A neural adversarial collaborative filtering for recommender system","publication_year":2021,"publication_date":"2021-12-07","ids":{"openalex":"https://openalex.org/W4200515219","doi":"https://doi.org/10.3233/jifs-210123"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-210123","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210123","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-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/A5006843730","display_name":"Jinyang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyang Sun","raw_affiliation_strings":["College of Information Science and Engineering, Ningbo University in Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ningbo University in Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030910124","display_name":"Baisong Liu","orcid":"https://orcid.org/0000-0001-5455-279X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baisong Liu","raw_affiliation_strings":["College of Information Science and Engineering, Ningbo University in Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ningbo University in Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049749678","display_name":"Hao Ren","orcid":"https://orcid.org/0000-0002-5503-924X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Ren","raw_affiliation_strings":["College of Information Science and Engineering, Ningbo University in Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ningbo University in Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057631007","display_name":"Weiming Huang","orcid":"https://orcid.org/0000-0002-3208-4208"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Huang","raw_affiliation_strings":["College of Information Science and Engineering, Ningbo University in Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ningbo University in Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030910124"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":1.9279,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89110906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"42","issue":"4","first_page":"2915","last_page":"2923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/discriminator","display_name":"Discriminator","score":0.8788026571273804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8539251089096069},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7829629182815552},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7803463339805603},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7551446557044983},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6359120607376099},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5197477340698242},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.518798291683197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5057873725891113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4941094219684601},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.468264639377594},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4367949366569519},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42277389764785767},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.17064228653907776},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07313591241836548}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8788026571273804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8539251089096069},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7829629182815552},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7803463339805603},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7551446557044983},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6359120607376099},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5197477340698242},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.518798291683197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5057873725891113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4941094219684601},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.468264639377594},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4367949366569519},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42277389764785767},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.17064228653907776},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07313591241836548},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-210123","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210123","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2984722729","https://openalex.org/W2997134905","https://openalex.org/W2998101974","https://openalex.org/W2998110150","https://openalex.org/W2998636456","https://openalex.org/W3035447895","https://openalex.org/W3080566854","https://openalex.org/W6630827713"],"related_works":["https://openalex.org/W2995777218","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/W135044020"],"abstract_inverted_index":{"The":[0],"major":[1],"challenge":[2],"of":[3,45,51],"recommendation":[4,76,111,150],"system":[5],"(RS)":[6],"based":[7],"on":[8],"implict":[9],"feedback":[10],"is":[11,126],"to":[12,25,60,94,108,119,128],"accurately":[13],"model":[14,112],"users\u2019":[15,52,96,142],"preferences":[16],"from":[17],"their":[18],"historical":[19],"feedback.":[20],"Nowadays,":[21],"researchers":[22],"has":[23],"tried":[24],"apply":[26],"adversarial":[27,46,86],"technique":[28,47],"in":[29,36,158],"RS,":[30],"which":[31,79,132],"had":[32],"presented":[33],"successful":[34],"results":[35],"various":[37],"domains.":[38],"To":[39],"a":[40,75,129],"certain":[41],"extent,":[42],"the":[43,49,91,100,105,110,116,124,135,138],"use":[44,90],"improves":[48],"modeling":[50],"preferences.":[53],"Nonetheless,":[54],"there":[55],"are":[56],"still":[57],"many":[58],"problems":[59],"be":[61],"solved,":[62],"such":[63],"as":[64],"insufficient":[65],"representation":[66],"and":[67,84,123,141],"low-level":[68],"interaction.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,103],"propose":[74],"algorithm":[77,153],"NCGAN":[78],"combines":[80],"neural":[81,92],"collaborative":[82],"filtering":[83],"generative":[85],"network":[87],"(GAN).":[88],"We":[89],"networks":[93],"extract":[95],"non-linear":[97],"characteristics.":[98],"At":[99],"same":[101],"time,":[102],"integrate":[104],"GAN":[106],"framework":[107],"guide":[109],"training.":[113],"Among":[114],"them,":[115],"generator":[117],"aims":[118],"make":[120],"user":[121],"recommendations":[122],"discriminator":[125],"equivalent":[127],"measurement":[130],"tool":[131],"could":[133],"measure":[134],"distance":[136],"between":[137],"generated":[139],"distribution":[140],"ground":[143],"distribution.":[144],"Through":[145],"comparison":[146],"with":[147],"other":[148],"existing":[149],"algorithms,":[151],"our":[152],"show":[154],"better":[155],"experimental":[156],"performance":[157],"all":[159],"indicators.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
