{"id":"https://openalex.org/W4396754410","doi":"https://doi.org/10.1109/access.2024.3398367","title":"A Recommendation Method Based on Multi-Source Heterogeneous Hypergraphs and Contrastive Learning","display_name":"A Recommendation Method Based on Multi-Source Heterogeneous Hypergraphs and Contrastive Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396754410","doi":"https://doi.org/10.1109/access.2024.3398367"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3398367","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3398367","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10522682.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10522682.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006749578","display_name":"Shanshan Wan","orcid":"https://orcid.org/0000-0002-3421-4387"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shanshan Wan","raw_affiliation_strings":["School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3421-4387","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079403704","display_name":"Jiaqi Ding","orcid":"https://orcid.org/0009-0006-7756-4658"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Ding","raw_affiliation_strings":["School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-7756-4658","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006749578"],"corresponding_institution_ids":["https://openalex.org/I62853816"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.2618,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94441342,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"70001","last_page":"70016"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.91839998960495,"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/hypergraph","display_name":"Hypergraph","score":0.842658281326294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.787093997001648},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.47562721371650696},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.4470227360725403},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42388370633125305},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3964236378669739},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3577204644680023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09675389528274536}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.842658281326294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.787093997001648},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.47562721371650696},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.4470227360725403},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42388370633125305},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3964236378669739},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3577204644680023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09675389528274536},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3398367","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3398367","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10522682.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:83f88755a27448ebba5b8335dd3afcde","is_oa":true,"landing_page_url":"https://doaj.org/article/83f88755a27448ebba5b8335dd3afcde","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 70001-70016 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3398367","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3398367","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10522682.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G522449936","display_name":null,"funder_award_id":"61902016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396754410.pdf"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W1978317329","https://openalex.org/W2005676288","https://openalex.org/W2051090063","https://openalex.org/W2140310134","https://openalex.org/W2476125329","https://openalex.org/W2782879866","https://openalex.org/W2788871459","https://openalex.org/W2793807929","https://openalex.org/W2811204324","https://openalex.org/W2892880750","https://openalex.org/W2914721378","https://openalex.org/W2951217911","https://openalex.org/W2962250064","https://openalex.org/W2962745591","https://openalex.org/W2963707260","https://openalex.org/W2964015378","https://openalex.org/W2964621415","https://openalex.org/W2965744319","https://openalex.org/W2985748879","https://openalex.org/W2996226706","https://openalex.org/W3007872411","https://openalex.org/W3008288562","https://openalex.org/W3016026271","https://openalex.org/W3016629994","https://openalex.org/W3035520037","https://openalex.org/W3035666843","https://openalex.org/W3036446966","https://openalex.org/W3045200674","https://openalex.org/W3049322104","https://openalex.org/W3080566854","https://openalex.org/W3081304929","https://openalex.org/W3085990079","https://openalex.org/W3093922720","https://openalex.org/W3093945404","https://openalex.org/W3099152386","https://openalex.org/W3100480425","https://openalex.org/W3104355095","https://openalex.org/W3106229813","https://openalex.org/W3153687269","https://openalex.org/W3154386053","https://openalex.org/W3155496675","https://openalex.org/W3157761858","https://openalex.org/W3176799601","https://openalex.org/W3181688248","https://openalex.org/W3199763349","https://openalex.org/W3208850925","https://openalex.org/W3211136280","https://openalex.org/W3214394954","https://openalex.org/W3214515553","https://openalex.org/W4200172648","https://openalex.org/W4205563440","https://openalex.org/W4205698008","https://openalex.org/W4211075818","https://openalex.org/W4213265860","https://openalex.org/W4221112279","https://openalex.org/W4221145585","https://openalex.org/W4221155633","https://openalex.org/W4221159053","https://openalex.org/W4224037412","https://openalex.org/W4224914537","https://openalex.org/W4224936667","https://openalex.org/W4224983022","https://openalex.org/W4225109328","https://openalex.org/W4225565607","https://openalex.org/W4226231516","https://openalex.org/W4280650151","https://openalex.org/W4281698030","https://openalex.org/W4282926996","https://openalex.org/W4296679404","https://openalex.org/W4304699816","https://openalex.org/W4321479942","https://openalex.org/W4383604692","https://openalex.org/W4394564931","https://openalex.org/W6680830989","https://openalex.org/W6726873649","https://openalex.org/W6762490134","https://openalex.org/W6770147432","https://openalex.org/W6776700526","https://openalex.org/W6779518175","https://openalex.org/W6794424754","https://openalex.org/W6795898371","https://openalex.org/W6809238736","https://openalex.org/W6845534289"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W93537448","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W4233821346"],"abstract_inverted_index":{"Fusion":[0],"of":[1,6,27,48,103,214,234],"multi-source":[2,28,115,127,135,153],"information":[3,61,72,81,95,128,132],"is":[4,171,225],"one":[5],"the":[7,25,55,101,179,212,230,241],"primary":[8],"methods":[9],"to":[10],"alleviate":[11],"data":[12,89],"sparsity":[13],"in":[14,22,31,232],"recommender":[15],"systems.":[16],"Hypergraphs":[17],"have":[18],"shown":[19],"remarkable":[20],"capabilities":[21],"dealing":[23],"with":[24,209],"diversity":[26],"information,":[29,154],"especially":[30],"modeling":[32,105,217],"high-order":[33,56,156],"user-item":[34],"relationships.":[35],"However,":[36],"most":[37],"hypergraph":[38],"research":[39],"focuses":[40],"on":[41,71,114,174,187,240],"constructing":[42],"hypergraphs":[43,87,117,137],"using":[44],"a":[45,110,164,195],"particular":[46],"type":[47],"hyperedge,":[49],"which":[50,122,177],"might":[51],"not":[52],"fully":[53],"capture":[54],"implicit":[57],"associations":[58,151],"among":[59,152,159],"heterogeneous":[60,92,116,136],"sources.":[62],"Furthermore,":[63],"existing":[64],"Hypergraph":[65,167],"Attention":[66,168],"Networks":[67],"(HyperGAT),":[68],"mainly":[69],"emphasizes":[70],"propagation":[73],"between":[74],"nodes":[75,188],"and":[76,118,130,146,161,181,189,218,237,247],"hyperedges,":[77,176],"insufficiently":[78],"exploring":[79],"density":[80],"within":[82],"complex":[83],"hyperedges.":[84,106,148],"Moreover,":[85],"when":[86],"combine":[88],"from":[90,96],"multiple":[91,196],"graphs,":[93],"redundant":[94],"different":[97],"viewpoints":[98],"can":[99],"reduce":[100],"effectiveness":[102],"multivariate":[104,215],"Thus,":[107],"we":[108,193],"propose":[109],"recommendation":[111,124],"algorithm":[112],"based":[113,173,239],"contrastive":[119],"learning":[120,200],"(MHCLR),":[121],"improves":[123],"accuracy":[125,213],"through":[126],"fusion":[129],"higher-order":[131],"correlation.":[133],"First,":[134],"(MHC)":[138],"are":[139],"generated":[140],"by":[141,185,244],"combining":[142],"distance,":[143],"behavior,":[144],"attribute,":[145],"prediction":[147],"We":[149],"mine":[150],"enhancing":[155],"semantic":[157],"connections":[158],"users":[160],"items.":[162],"Then,":[163],"Spatial":[165],"Density":[166],"Network":[169],"(SD-HGAT)":[170],"proposed":[172],"composite":[175],"enriches":[178],"user":[180,221],"item":[182],"embedding":[183],"representations":[184],"focusing":[186],"hyperedges":[190],"density.":[191],"Finally,":[192],"design":[194],"cross":[197],"view":[198],"comparative":[199],"(MCC)":[201],"that":[202,227],"compares":[203],"views":[204],"centered":[205],"around":[206],"knowledge":[207],"graphs":[208],"hypergraphs,":[210],"improving":[211],"relationship":[216],"enabling":[219],"multi-level":[220],"profiling":[222],"construction.":[223],"It":[224],"observed":[226],"MHCLR":[228],"outperforms":[229],"baselines":[231],"terms":[233],"recall,":[235],"precision,":[236],"NDCG":[238],"experimental":[242],"results":[243],"Yelp,":[245],"Last-FM,":[246],"Douban.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}