{"id":"https://openalex.org/W4396648429","doi":"https://doi.org/10.1145/3653081.3653216","title":"Research on the Fairness of Cold-start Recommender System Based on Federated Learning Framework","display_name":"Research on the Fairness of Cold-start Recommender System Based on Federated Learning Framework","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4396648429","doi":"https://doi.org/10.1145/3653081.3653216"},"language":"en","primary_location":{"id":"doi:10.1145/3653081.3653216","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653081.3653216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004519131","display_name":"Yuqi Wang","orcid":"https://orcid.org/0009-0007-2428-6372"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Wang","raw_affiliation_strings":["Dalian Polytechnic University, China"],"raw_orcid":"https://orcid.org/0009-0007-2428-6372","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016100445","display_name":"Xiaojun Tang","orcid":"https://orcid.org/0009-0001-3678-8536"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Tang","raw_affiliation_strings":["Dalian Polytechnic University, China"],"raw_orcid":"https://orcid.org/0009-0001-3678-8536","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032110350","display_name":"Ying Lu","orcid":"https://orcid.org/0009-0001-6881-9042"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Lu","raw_affiliation_strings":["Dalian Polytechnic University, China"],"raw_orcid":"https://orcid.org/0009-0001-6881-9042","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101609880","display_name":"Liu Na","orcid":"https://orcid.org/0000-0002-3899-4886"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Liu","raw_affiliation_strings":["Dalian Polytechnic University, China"],"raw_orcid":"https://orcid.org/0000-0002-3899-4886","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, China","institution_ids":["https://openalex.org/I88372448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I88372448"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"802","last_page":"807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9940000176429749,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.972599983215332,"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/movielens","display_name":"MovieLens","score":0.8931242227554321},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.8192300796508789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7962321639060974},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7724047899246216},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.583602249622345},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5651850700378418},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5178771018981934},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42827731370925903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4187171161174774},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1775103211402893}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.8931242227554321},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.8192300796508789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962321639060974},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7724047899246216},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.583602249622345},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5651850700378418},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5178771018981934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42827731370925903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4187171161174774},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1775103211402893},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653081.3653216","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653081.3653216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2616602896","https://openalex.org/W2765897485","https://openalex.org/W2913106281","https://openalex.org/W3153108722","https://openalex.org/W3156002164","https://openalex.org/W3166254624","https://openalex.org/W4205803059","https://openalex.org/W4210525828","https://openalex.org/W4213069590","https://openalex.org/W4297804276","https://openalex.org/W4312921231","https://openalex.org/W4400530533","https://openalex.org/W6728551298","https://openalex.org/W6735804486","https://openalex.org/W6783813245","https://openalex.org/W6787990206","https://openalex.org/W6793662971"],"related_works":["https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W4394818607","https://openalex.org/W2986679525","https://openalex.org/W2797500822","https://openalex.org/W2794458286","https://openalex.org/W2735929803","https://openalex.org/W2954356050","https://openalex.org/W2113380565","https://openalex.org/W3002169615"],"abstract_inverted_index":{"The":[0],"cold-start":[1,13],"problem,":[2],"in":[3,28,31,90],"which":[4,44],"the":[5,8,18,58,70,73,79],"embedding":[6],"for":[7,12],"same":[9],"item":[10],"differs":[11],"and":[14,48,64,78,99],"non-cold-start":[15],"due":[16],"to":[17,50],"unfairness":[19],"of":[20,60,62],"recommendations,":[21],"has":[22],"been":[23],"a":[24,39,52],"more":[25],"prevalent":[26],"challenge":[27],"recommender":[29],"systems":[30],"recent":[32],"years.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,68],"propose":[38],"new":[40],"model,":[41],"named":[42],"FLM,":[43],"combines":[45],"distribution":[46],"generator":[47],"autoencoder":[49],"form":[51],"joint":[53],"learning":[54],"framework":[55],"based":[56],"on":[57,72],"concepts":[59],"fairness":[61],"opportunity":[63],"maximum-minimum":[65],"fairness.":[66],"Finally,":[67],"test":[69],"model":[71],"public":[74],"dataset":[75],"Movielens":[76],"1M,":[77],"experimental":[80],"results":[81],"demonstrate":[82],"that":[83],"it":[84],"compares":[85],"favorably":[86],"with":[87],"other":[88],"models.":[89],"four":[91],"metrics:":[92],"mean":[93],"discounted":[94,101],"gain":[95,103],"(MDG),":[96],"recall,":[97],"precision,":[98],"normalized":[100],"cumulative":[102],"(NDCG).":[104]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
