{"id":"https://openalex.org/W4412944557","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1317","title":"Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System","display_name":"Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412944557","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1317"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.1317","is_oa":false,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://aclanthology.org/2025.findings-acl.1317/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003424646","display_name":"Yongsen Zheng","orcid":"https://orcid.org/0000-0003-2692-6429"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongsen Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zongxuan Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zongxuan Xie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649985","display_name":"Guohua Wang","orcid":"https://orcid.org/0000-0002-6090-2300"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guohua Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101492724","display_name":"Ziyao Liu","orcid":"https://orcid.org/0000-0003-4060-0839"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyao Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101939726","display_name":"Liang Lin","orcid":"https://orcid.org/0009-0009-9170-8971"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101720092","display_name":"Kwok\u2010Yan Lam","orcid":"https://orcid.org/0000-0001-7479-7970"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kwok-Yan Lam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25673","last_page":"25684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9332000017166138,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9332000017166138,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9284999966621399,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9140999913215637,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7648531794548035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7461293935775757},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.6076772212982178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3509460687637329},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.30220603942871094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1074208915233612}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7648531794548035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461293935775757},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6076772212982178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3509460687637329},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30220603942871094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1074208915233612},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.1317","is_oa":false,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/215749","is_oa":true,"landing_page_url":"https://aclanthology.org/2025.findings-acl.1317/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/215749","is_oa":true,"landing_page_url":"https://aclanthology.org/2025.findings-acl.1317/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998"],"abstract_inverted_index":{"Unfairness":[0],"is":[1],"a":[2,70,100,144],"well-known":[3],"challenge":[4],"in":[5,11,38,89,118],"Recommender":[6,80,94],"Systems":[7,95],"(RSs),":[8],"often":[9,47],"resulting":[10],"biased":[12],"outcomes":[13],"that":[14,141],"disadvantage":[15],"users":[16],"or":[17,27,40],"items":[18],"based":[19],"on":[20,136],"attributes":[21],"such":[22],"as":[23],"gender,":[24],"race,":[25],"age,":[26],"popularity.":[28],"Although":[29],"some":[30],"approaches":[31],"have":[32],"started":[33],"to":[34,52,84,120],"improve":[35],"fairness":[36,88],"recommendation":[37],"offline":[39],"static":[41],"contexts,":[42],"the":[43,56,130],"issue":[44],"of":[45,103],"unfairness":[46],"exacerbates":[48],"over":[49],"time,":[50],"leading":[51],"significant":[53],"problems":[54],"like":[55],"Matthew":[57],"effect,":[58],"filter":[59],"bubbles,":[60],"and":[61,91,124],"echo":[62],"chambers.":[63],"To":[64],"address":[65],"these":[66],"challenges,":[67],"we":[68],"proposed":[69],"novel":[71],"framework,":[72],"Hypergraph":[73],"Contrastive":[74],"Multi-Interest":[75],"Learning":[76],"for":[77],"Fair":[78],"Conversational":[79,93],"System":[81],"(HyFairCRS),":[82],"aiming":[83],"promote":[85],"multi-interest":[86],"diversity":[87],"dynamic":[90,131],"interactive":[92],"(CRSs).":[96],"HyFairCRS":[97,142],"first":[98],"captures":[99],"wide":[101],"range":[102],"user":[104],"interests":[105,114],"by":[106],"establishing":[107],"diverse":[108],"hypergraphs":[109],"through":[110],"contrastive":[111],"learning.":[112],"These":[113],"are":[115],"then":[116],"utilized":[117],"conversations":[119],"generate":[121],"informative":[122],"responses":[123],"ensure":[125],"fair":[126],"item":[127],"predictions":[128],"within":[129],"user-system":[132],"feedback":[133],"loop.":[134],"Experiments":[135],"two":[137],"CRS-based":[138],"datasets":[139],"show":[140],"achieves":[143],"new":[145],"state-of-the-art":[146],"performance":[147],"while":[148],"effectively":[149],"alleviating":[150],"unfairness.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
