{"id":"https://openalex.org/W4404376877","doi":"https://doi.org/10.1007/s40747-024-01649-z","title":"Relieving popularity bias in recommendation via debiasing representation enhancement","display_name":"Relieving popularity bias in recommendation via debiasing representation enhancement","publication_year":2024,"publication_date":"2024-11-14","ids":{"openalex":"https://openalex.org/W4404376877","doi":"https://doi.org/10.1007/s40747-024-01649-z"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01649-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01649-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01649-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01649-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007024099","display_name":"Junsan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junsan Zhang","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063947852","display_name":"Shuicai Wu","orcid":"https://orcid.org/0000-0002-8027-9499"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sini Wu","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010468843","display_name":"Te Wang","orcid":"https://orcid.org/0000-0002-8688-7479"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Te Wang","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062765877","display_name":"Fengmei Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengmei Ding","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102396221","display_name":"Jie Zhu","orcid":"https://orcid.org/0009-0003-4007-8224"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Zhu","raw_affiliation_strings":["College of Mathematics and Information Science, Hebei University, Baoding, 071002, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Information Science, Hebei University, Baoding, 071002, China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102396221"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.4996,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87724214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9951000213623047,"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/debiasing","display_name":"Debiasing","score":0.9941896796226501},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8359782099723816},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6504063606262207},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.593376636505127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5798662900924683},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.5562044382095337},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38706862926483154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3566860556602478},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3279328942298889},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30984193086624146},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.14590078592300415},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07832148671150208}],"concepts":[{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.9941896796226501},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8359782099723816},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6504063606262207},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.593376636505127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5798662900924683},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.5562044382095337},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38706862926483154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3566860556602478},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3279328942298889},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30984193086624146},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.14590078592300415},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07832148671150208},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01649-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01649-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01649-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c01a3b549d8344409244fa6fcf9620be","is_oa":true,"landing_page_url":"https://doaj.org/article/c01a3b549d8344409244fa6fcf9620be","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-14 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01649-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01649-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01649-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2584098827","display_name":null,"funder_award_id":"No. F2022511001","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G2822445701","display_name":null,"funder_award_id":"62376285","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5344124598","display_name":null,"funder_award_id":"F2022511001","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324851","display_name":"Hebei University","ror":"https://ror.org/01p884a79"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4404376877.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W2023954349","https://openalex.org/W2054141820","https://openalex.org/W2069870183","https://openalex.org/W2100235918","https://openalex.org/W2108630796","https://openalex.org/W2140310134","https://openalex.org/W2219888463","https://openalex.org/W2605350416","https://openalex.org/W2624407581","https://openalex.org/W2629213068","https://openalex.org/W2740920897","https://openalex.org/W2748058847","https://openalex.org/W2911588830","https://openalex.org/W2911965419","https://openalex.org/W2945827670","https://openalex.org/W2964015378","https://openalex.org/W3005680577","https://openalex.org/W3035143414","https://openalex.org/W3038744824","https://openalex.org/W3044311607","https://openalex.org/W3045200674","https://openalex.org/W3092103025","https://openalex.org/W3094605801","https://openalex.org/W3097679710","https://openalex.org/W3100278010","https://openalex.org/W3100324210","https://openalex.org/W3100521056","https://openalex.org/W3103310105","https://openalex.org/W3115418111","https://openalex.org/W3153325943","https://openalex.org/W3156939347","https://openalex.org/W3164548985","https://openalex.org/W3168738558","https://openalex.org/W3170682786","https://openalex.org/W3170713142","https://openalex.org/W3172253407","https://openalex.org/W3172854437","https://openalex.org/W4212835176","https://openalex.org/W4212951676","https://openalex.org/W4220909642","https://openalex.org/W4283702870","https://openalex.org/W4284666445","https://openalex.org/W4291221983","https://openalex.org/W4296604436","https://openalex.org/W4297808394","https://openalex.org/W4310416255","https://openalex.org/W4310731791","https://openalex.org/W4320472540","https://openalex.org/W4321277058","https://openalex.org/W4386501886","https://openalex.org/W4386811815","https://openalex.org/W4388822117","https://openalex.org/W4390685528"],"related_works":["https://openalex.org/W4362554880","https://openalex.org/W4281684980","https://openalex.org/W4386875279","https://openalex.org/W2171721708","https://openalex.org/W4390963114","https://openalex.org/W4287887864","https://openalex.org/W3214527415","https://openalex.org/W1495104519","https://openalex.org/W4225584739","https://openalex.org/W3109698684"],"abstract_inverted_index":{"The":[0],"interaction":[1],"data":[2,16,33,55],"used":[3],"for":[4,73,100,137],"training":[5,90],"recommender":[6],"systems":[7],"often":[8],"exhibit":[9],"a":[10,70],"long-tail":[11],"distribution.":[12],"Such":[13],"highly":[14],"imbalanced":[15],"distribution":[17],"results":[18],"in":[19,43,155,174],"an":[20],"unfair":[21],"learning":[22,27,68],"process":[23],"among":[24,112],"items.":[25,113],"Contrastive":[26],"alleviates":[28],"the":[29,40,54,89,95,110,167],"above":[30],"issue":[31],"by":[32,124],"augmentation.":[34],"However,":[35],"it":[36],"lacks":[37],"consideration":[38],"of":[39,97,161],"significant":[41,172],"disparity":[42],"popularity":[44,176],"between":[45],"items":[46,118],"and":[47,164],"may":[48],"even":[49],"introduce":[50],"false":[51,79],"negatives":[52,80],"during":[53,81],"augmentation,":[56],"misleading":[57],"user":[58],"preference":[59],"prediction.":[60],"To":[61],"address":[62],"this":[63],"issue,":[64],"we":[65,83,103,115],"combine":[66],"contrastive":[67],"with":[69,158],"weighted":[71],"model":[72,151],"negative":[74],"validation.":[75],"By":[76],"penalizing":[77],"identified":[78],"training,":[82],"limit":[84],"their":[85,128,138],"potential":[86],"harm":[87],"within":[88],"process.":[91],"Meanwhile,":[92],"to":[93,108,119],"tackle":[94],"scarcity":[96],"supervision":[98],"signals":[99],"unpopular":[101,117],"items,":[102,131],"design":[104],"Popularity":[105],"Associated":[106],"Modeling":[107],"mine":[109],"correlation":[111],"Then":[114],"guide":[116],"learn":[120],"hidden":[121],"features":[122],"favored":[123],"specific":[125],"users":[126],"from":[127],"associated":[129],"popular":[130],"which":[132],"provides":[133],"effective":[134],"supplementary":[135],"information":[136],"representation":[139],"modeling.":[140],"Extensive":[141],"experiments":[142],"on":[143],"three":[144],"real-world":[145],"datasets":[146],"demonstrate":[147],"that":[148],"our":[149],"proposed":[150],"outperforms":[152],"state-of-the-art":[153],"baselines":[154],"recommendation":[156],"performance,":[157],"Recall@20":[159],"improvements":[160],"4.2%,":[162],"2.4%":[163],"3.6%":[165],"across":[166],"datasets,":[168],"but":[169],"also":[170],"shows":[171],"effectiveness":[173],"relieving":[175],"bias.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
