{"id":"https://openalex.org/W4284706355","doi":"https://doi.org/10.1145/3477495.3531907","title":"Neutralizing Popularity Bias in Recommendation Models","display_name":"Neutralizing Popularity Bias in Recommendation Models","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284706355","doi":"https://doi.org/10.1145/3477495.3531907"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531907","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5010425394","display_name":"Guipeng Xv","orcid":"https://orcid.org/0000-0001-5320-5489"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guipeng Xv","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707569","display_name":"Chen Lin","orcid":"https://orcid.org/0000-0002-2275-997X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Lin","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423840","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-9139-3855"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043369366","display_name":"Jinsong Su","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Su","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052286349","display_name":"Weiyao Ye","orcid":"https://orcid.org/0000-0002-7244-0190"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyao Ye","raw_affiliation_strings":["Huaqiao University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051404919","display_name":"Yewang Chen","orcid":"https://orcid.org/0000-0001-9691-0807"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yewang Chen","raw_affiliation_strings":["Huaqiao University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5010425394"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":2.9069,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92720418,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2623","last_page":"2628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.994700014591217,"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":0.9940999746322632,"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/popularity","display_name":"Popularity","score":0.9818339347839355},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.8503137230873108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.782943844795227},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7356088161468506},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5547145009040833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46381255984306335},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4486914277076721},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3794190287590027},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36933597922325134},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34180840849876404},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07805678248405457}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.9818339347839355},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.8503137230873108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.782943844795227},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7356088161468506},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5547145009040833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46381255984306335},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4486914277076721},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3794190287590027},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36933597922325134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34180840849876404},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07805678248405457},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477495.3531907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531907","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1720514416","https://openalex.org/W2054141820","https://openalex.org/W2340502990","https://openalex.org/W2507134384","https://openalex.org/W2603931454","https://openalex.org/W2605350416","https://openalex.org/W2629213068","https://openalex.org/W2748058847","https://openalex.org/W2802187397","https://openalex.org/W2878188201","https://openalex.org/W2889624842","https://openalex.org/W2892888989","https://openalex.org/W2913491198","https://openalex.org/W2998534896","https://openalex.org/W3009804075","https://openalex.org/W3028201915","https://openalex.org/W3034847753","https://openalex.org/W3045200674","https://openalex.org/W3102099102","https://openalex.org/W3103310105","https://openalex.org/W3156622960","https://openalex.org/W3156939347","https://openalex.org/W3160537436","https://openalex.org/W3182104952"],"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/W2199432031"],"abstract_inverted_index":{"Most":[0],"existing":[1],"recommendation":[2,47,99],"models":[3],"learn":[4,50],"vectorized":[5],"representations":[6],"for":[7],"items,":[8],"i.e.,":[9],"item":[10,53],"embeddings":[11,16],"to":[12,25,32,49,77],"make":[13],"predictions.":[14],"Item":[15],"inherit":[17],"popularity":[18,51,58,67,81],"bias":[19,59],"from":[20],"the":[21,66,86],"data,":[22],"which":[23,39],"leads":[24],"biased":[26],"recommendations.":[27],"We":[28,83],"use":[29],"this":[30],"observation":[31],"design":[33],"two":[34],"simple":[35],"and":[36,64,80,97,103],"effective":[37],"strategies,":[38],"can":[40],"be":[41,78],"flexibly":[42],"plugged":[43],"into":[44],"different":[45],"backbone":[46,105],"models,":[48],"neutral":[52],"representations.":[54],"One":[55],"strategy":[56,72],"isolates":[57],"in":[60],"one":[61],"embedding":[62,75],"direction":[63,68],"neutralizes":[65],"post-training.":[69],"The":[70],"other":[71],"encourages":[73],"all":[74],"directions":[76],"disentangled":[79],"neutral.":[82],"demonstrate":[84],"that":[85],"proposed":[87],"strategies":[88],"outperform":[89],"state-of-the-art":[90],"debiasing":[91],"methods":[92],"on":[93],"various":[94],"real-world":[95],"datasets,":[96],"improve":[98],"quality":[100],"of":[101],"shallow":[102],"deep":[104],"models.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}