{"id":"https://openalex.org/W4389161297","doi":"https://doi.org/10.1109/tmm.2023.3338083","title":"Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization","display_name":"Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389161297","doi":"https://doi.org/10.1109/tmm.2023.3338083"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3338083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3338083","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Multimedia","raw_type":"journal-article"},"type":"article","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/A5049005242","display_name":"Zhenghong Lin","orcid":"https://orcid.org/0000-0002-7495-3846"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenghong Lin","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055803082","display_name":"Qishan Yan","orcid":"https://orcid.org/0009-0006-1706-8409"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qishan Yan","raw_affiliation_strings":["College of Maynooth International Engineering, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Maynooth International Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007858277","display_name":"Weiming Liu","orcid":"https://orcid.org/0000-0002-4115-7667"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Liu","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604225","display_name":"Shiping Wang","orcid":"https://orcid.org/0000-0001-5195-9682"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiping Wang","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618022","display_name":"Menghan Wang","orcid":"https://orcid.org/0000-0003-0682-5866"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Menghan Wang","raw_affiliation_strings":["eBay Inc., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"eBay Inc., Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083137715","display_name":"Yanchao Tan","orcid":"https://orcid.org/0000-0002-3526-6859"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Tan","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006897094","display_name":"Carl Yang","orcid":"https://orcid.org/0000-0001-9145-4531"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Yang","raw_affiliation_strings":["Department of Computer Science, Emory University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5049005242"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":4.5816,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.95278024,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"5680","last_page":"5693"},"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":0.9909999966621399,"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/T11478","display_name":"Caching and Content Delivery","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.948631763458252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7240728139877319},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6318487524986267},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5493972301483154},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4601512551307678},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4341965317726135},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36043715476989746},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25001028180122375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14206954836845398}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.948631763458252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7240728139877319},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6318487524986267},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5493972301483154},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4601512551307678},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4341965317726135},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36043715476989746},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25001028180122375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14206954836845398},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3338083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3338083","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2979006455","display_name":null,"funder_award_id":"62276065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3794798619","display_name":null,"funder_award_id":"U21A20472","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1542343170","https://openalex.org/W1594039573","https://openalex.org/W1768488313","https://openalex.org/W1979089718","https://openalex.org/W2014854862","https://openalex.org/W2031039901","https://openalex.org/W2136885855","https://openalex.org/W2167913971","https://openalex.org/W2339611261","https://openalex.org/W2340502990","https://openalex.org/W2796676459","https://openalex.org/W2892880750","https://openalex.org/W2945827670","https://openalex.org/W2998431760","https://openalex.org/W2999649805","https://openalex.org/W3008106430","https://openalex.org/W3012255272","https://openalex.org/W3035666843","https://openalex.org/W3045200674","https://openalex.org/W3080566854","https://openalex.org/W3094605801","https://openalex.org/W3100278010","https://openalex.org/W3127985042","https://openalex.org/W3153325943","https://openalex.org/W3153680312","https://openalex.org/W3155496675","https://openalex.org/W3156476916","https://openalex.org/W3160166991","https://openalex.org/W3189998517","https://openalex.org/W3190660689","https://openalex.org/W3191244312","https://openalex.org/W3193924719","https://openalex.org/W3200696353","https://openalex.org/W3207409917","https://openalex.org/W3208338073","https://openalex.org/W3211356784","https://openalex.org/W3213942508","https://openalex.org/W4206053994","https://openalex.org/W4206089053","https://openalex.org/W4213019810","https://openalex.org/W4220909642","https://openalex.org/W4224319640","https://openalex.org/W4224983022","https://openalex.org/W4225771944","https://openalex.org/W4282937884","https://openalex.org/W4284666445","https://openalex.org/W4284686273","https://openalex.org/W4284704639","https://openalex.org/W4285606137","https://openalex.org/W4290927771","https://openalex.org/W4290943920","https://openalex.org/W4294068629","https://openalex.org/W4294710638","https://openalex.org/W4302439355","https://openalex.org/W4306317227","https://openalex.org/W4312513550","https://openalex.org/W4321488152","https://openalex.org/W4382239114","https://openalex.org/W4385763902","https://openalex.org/W6638157756","https://openalex.org/W6674802743","https://openalex.org/W6682962330","https://openalex.org/W6729761961","https://openalex.org/W6750493765","https://openalex.org/W6796666900","https://openalex.org/W6802127788"],"related_works":["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","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W2472555608"],"abstract_inverted_index":{"With":[0],"the":[1,7,52,66,79,113,118,141,145,148,153,165,175,193,209],"rapid":[2],"growth":[3],"of":[4,11,31,147,167,174],"activities":[5],"on":[6,14,117,204],"web,":[8],"large":[9],"amounts":[10],"interaction":[12],"data":[13,74],"multimedia":[15],"platforms":[16],"are":[17,69,84],"easily":[18],"accessible,":[19],"including":[20],"e-commerce,":[21],"music":[22],"sharing,":[23],"and":[24,63,124,133,152,182,223,235],"social":[25],"media.":[26],"By":[27,111],"discovering":[28],"various":[29],"interests":[30],"users,":[32],"recommender":[33],"systems":[34],"can":[35,104],"improve":[36],"user":[37],"satisfaction":[38],"without":[39,126],"accessing":[40],"overwhelming":[41],"personal":[42],"information.":[43],"Compared":[44],"to":[45,54,139,163],"graph-based":[46],"models,":[47],"hypergraph-based":[48],"collaborative":[49],"filtering":[50],"has":[51],"ability":[53],"model":[55,194],"higher-order":[56],"relations":[57,60],"besides":[58],"pair-wise":[59],"among":[61],"users":[62,123],"items,":[64],"where":[65,170],"hypergraph":[67,82,109,130,168,189],"structures":[68,83],"mainly":[70],"obtained":[71],"from":[72],"specialized":[73],"or":[75],"external":[76],"knowledge.":[77],"However,":[78],"above":[80],"well-constructed":[81],"often":[85],"not":[86],"readily":[87],"available":[88],"in":[89],"every":[90],"situation.":[91],"To":[92],"this":[93],"end,":[94],"we":[95,121,157],"first":[96],"propose":[97],"a":[98,135,159,171],"novel":[99,172],"framework":[100,185],"named":[101],"HGRec,":[102],"which":[103,215],"enhance":[105],"recommendation":[106,137],"via":[107],"automatic":[108],"generation.":[110,190],"exploiting":[112],"clustering":[114],"mechanism":[115],"based":[116],"user/item":[119],"similarity,":[120],"group":[122],"items":[125],"additional":[127],"knowledge":[128],"for":[129,188],"structure":[131],"learning":[132],"design":[134],"cross-view":[136],"module":[138],"alleviate":[140],"combinatorial":[142],"gaps":[143],"between":[144],"representations":[146],"local":[149],"ordinary":[150],"graph":[151],"global":[154],"hypergraph.":[155],"Furthermore,":[156],"devise":[158],"sparse":[160,197],"optimization":[161,198],"strategy":[162,199],"ensure":[164],"effectiveness":[166],"structures,":[169],"integration":[173],"<inline-formula":[176,219,225],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[177,220,226],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[178,221,227],"notation=\"LaTeX\">$\\ell":[179],"_{2,1}$</tex-math></inline-formula>":[180],"-norm":[181],"optimal":[183],"transport":[184],"is":[186],"designed":[187],"We":[191],"term":[192],"HGRec":[195],"with":[196],"as":[200],"HGRec++.":[201],"Extensive":[202],"experiments":[203],"public":[205],"multi-domain":[206],"datasets":[207],"demonstrate":[208],"superiority":[210],"brought":[211],"by":[212],"our":[213],"HGRec++,":[214],"gains":[216],"average":[217],"8.1":[218],"notation=\"LaTeX\">$\\%$</tex-math></inline-formula>":[222,228],"9.8":[224],"improvement":[229],"over":[230],"state-of-the-art":[231],"baselines":[232],"regarding":[233],"Recall":[234],"NDCG":[236],"metrics,":[237],"respectively.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}