{"id":"https://openalex.org/W4408353854","doi":"https://doi.org/10.1109/icassp49660.2025.10887695","title":"Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation","display_name":"Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353854","doi":"https://doi.org/10.1109/icassp49660.2025.10887695"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5090780235","display_name":"Sisuo Lyu","orcid":"https://orcid.org/0009-0008-9452-0336"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sisuo Lyu","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032979467","display_name":"Xiuze Zhou","orcid":"https://orcid.org/0000-0002-0717-6936"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiuze Zhou","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109782052","display_name":"Xuming Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuming Hu","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China","institution_ids":[]}]}],"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":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9557999968528748,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9557999968528748,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7632906436920166},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.6578055024147034},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.6535183191299438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3335924744606018},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08127215504646301}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7632906436920166},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6578055024147034},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.6535183191299438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3335924744606018},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08127215504646301},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":14,"referenced_works":["https://openalex.org/W2512971201","https://openalex.org/W2963655167","https://openalex.org/W2982108874","https://openalex.org/W3045200674","https://openalex.org/W3093002391","https://openalex.org/W4281264565","https://openalex.org/W4284687944","https://openalex.org/W4309185982","https://openalex.org/W4322718576","https://openalex.org/W4385270524","https://openalex.org/W4385682046","https://openalex.org/W4388636907","https://openalex.org/W4390451911","https://openalex.org/W4399920797"],"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":{"With":[0],"the":[1,8,19,61,87],"widespread":[2],"use":[3],"of":[4,11,63,89],"mobile":[5],"devices":[6],"and":[7,17,43,51,86,124,152],"rapid":[9],"growth":[10],"micro-video":[12,23,106],"platforms":[13],"such":[14,34],"as":[15,35],"TikTok":[16],"Kwai,":[18],"demand":[20],"for":[21,104],"personalized":[22],"recommendation":[24,150],"systems":[25],"has":[26],"significantly":[27,47,146],"increased.":[28],"Micro-videos":[29],"typically":[30],"contain":[31],"diverse":[32],"information,":[33],"textual":[36],"metadata,":[37],"visual":[38],"cues":[39],"(e.g.,":[40],"cover":[41],"images),":[42],"dynamic":[44],"video":[45,149],"content,":[46],"affecting":[48],"user":[49],"interaction":[50,72,84,91,119],"engagement":[52],"patterns.":[53],"However,":[54],"most":[55],"existing":[56,148],"approaches":[57],"often":[58],"suffer":[59],"from":[60,121],"problem":[62],"over-smoothing,":[64],"which":[65],"limits":[66],"their":[67],"ability":[68],"to":[69,82,117,130],"capture":[70,118],"comprehensive":[71],"information":[73],"effectively.":[74],"Additionally,":[75],"cold-start":[76,105,155],"scenarios":[77],"present":[78],"ongoing":[79],"challenges":[80],"due":[81],"sparse":[83],"data":[85],"underutilization":[88],"available":[90,160],"signals.To":[92],"address":[93],"these":[94],"issues,":[95],"we":[96,142],"propose":[97],"a":[98,111],"Multi-view":[99],"Hypergraph-based":[100],"Contrastive":[101],"learning":[102,128],"model":[103],"Recommendation":[107],"(MHCR).":[108],"MHCR":[109,145],"introduces":[110],"multi-view":[112,126],"multi-modal":[113],"feature":[114],"extraction":[115],"layer":[116],"signals":[120],"various":[122],"perspectives":[123],"incorporates":[125],"self-supervised":[127],"tasks":[129],"provide":[131],"additional":[132],"supervisory":[133],"signals.":[134],"Through":[135],"extensive":[136],"experiments":[137],"on":[138],"two":[139],"real-world":[140],"datasets,":[141],"show":[143],"that":[144],"outperforms":[147],"models":[151],"effectively":[153],"mitigates":[154],"challenges.":[156],"Our":[157],"code":[158],"is":[159],"at":[161],"https://github.com/sisuolv/MHCR.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
