{"id":"https://openalex.org/W7169654086","doi":"https://doi.org/10.1007/978-981-92-3391-5_30","title":"Mitigating Popularity Bias in Recommendation with Diffusion-Contrastive Learning and Gated Alignment","display_name":"Mitigating Popularity Bias in Recommendation with Diffusion-Contrastive Learning and Gated Alignment","publication_year":2026,"publication_date":"2026-07-18","ids":{"openalex":"https://openalex.org/W7169654086","doi":"https://doi.org/10.1007/978-981-92-3391-5_30"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-92-3391-5_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3391-5_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5141128861","display_name":"Xuguang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuguang Yang","raw_affiliation_strings":["College of Intelligent Science and Technology, Inner Mongolia University of Technology, Hohhot, 010080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligent Science and Technology, Inner Mongolia University of Technology, Hohhot, 010080, China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060626579","display_name":"Baojun Tian","orcid":"https://orcid.org/0000-0002-1716-834X"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baojun Tian","raw_affiliation_strings":["College of Intelligent Science and Technology, Inner Mongolia University of Technology, Hohhot, 010080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligent Science and Technology, Inner Mongolia University of Technology, Hohhot, 010080, China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085039567","display_name":"Jiandong Fang","orcid":"https://orcid.org/0000-0002-2920-9276"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandong Fang","raw_affiliation_strings":["College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010080, China","institution_ids":["https://openalex.org/I55654194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5060626579"],"corresponding_institution_ids":["https://openalex.org/I55654194"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"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":"370","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7541999816894531},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5397999882698059},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.45680001378059387},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4327000081539154},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42410001158714294},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4214000105857849},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41929998993873596},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4009000062942505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9007999897003174},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7541999816894531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5521000027656555},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5397999882698059},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5212000012397766},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.45680001378059387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4327000081539154},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42410001158714294},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4214000105857849},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41929998993873596},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3889000117778778},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.35089999437332153},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.28040000796318054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26829999685287476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-92-3391-5_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3391-5_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W3045200674","https://openalex.org/W3097679710","https://openalex.org/W3115418111","https://openalex.org/W4225110281","https://openalex.org/W4284666445","https://openalex.org/W4320342922","https://openalex.org/W4320830010","https://openalex.org/W4384644330","https://openalex.org/W4401857110","https://openalex.org/W4401960264","https://openalex.org/W4406238033","https://openalex.org/W4406611399","https://openalex.org/W4408192801","https://openalex.org/W4415626475","https://openalex.org/W4416100021","https://openalex.org/W4417477723","https://openalex.org/W7129103501"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-19T06:00:50.952336","created_date":"2026-07-19T00:00:00"}
