{"id":"https://openalex.org/W4284701295","doi":"https://doi.org/10.1145/3477495.3531828","title":"DH-HGCN: Dual Homogeneity Hypergraph Convolutional Network for Multiple Social Recommendations","display_name":"DH-HGCN: Dual Homogeneity Hypergraph Convolutional Network for Multiple Social Recommendations","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284701295","doi":"https://doi.org/10.1145/3477495.3531828"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531828","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531828","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5067493375","display_name":"Jiadi Han","orcid":"https://orcid.org/0000-0001-6276-6691"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiadi Han","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002411381","display_name":"Qian Tao","orcid":"https://orcid.org/0000-0001-7313-2109"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Tao","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044185120","display_name":"Yufei Tang","orcid":"https://orcid.org/0000-0002-6915-4468"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yufei Tang","raw_affiliation_strings":["Florida Atlantic University, Boca Raton, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053329195","display_name":"Yuhan Xia","orcid":"https://orcid.org/0000-0002-2994-0149"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Xia","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2190","last_page":"2194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.9957000017166138,"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/T10028","display_name":"Topic Modeling","score":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.8049380779266357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741614043712616},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7330459356307983},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.686303973197937},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5570926666259766},{"id":"https://openalex.org/keywords/attractiveness","display_name":"Attractiveness","score":0.49192166328430176},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.46097010374069214},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.44010522961616516},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4319358468055725},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4310421943664551},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4309236407279968},{"id":"https://openalex.org/keywords/social-relation","display_name":"Social relation","score":0.42998769879341125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4127580523490906},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32227784395217896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3099973201751709},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28697627782821655},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.20364829897880554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16500213742256165},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15048065781593323},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08450967073440552}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8049380779266357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741614043712616},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7330459356307983},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.686303973197937},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5570926666259766},{"id":"https://openalex.org/C31173074","wikidata":"https://www.wikidata.org/wiki/Q2632514","display_name":"Attractiveness","level":2,"score":0.49192166328430176},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.46097010374069214},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.44010522961616516},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4319358468055725},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4310421943664551},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4309236407279968},{"id":"https://openalex.org/C130064352","wikidata":"https://www.wikidata.org/wiki/Q853725","display_name":"Social relation","level":2,"score":0.42998769879341125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4127580523490906},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32227784395217896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3099973201751709},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28697627782821655},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.20364829897880554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16500213742256165},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15048065781593323},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08450967073440552},{"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477495.3531828","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531828","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6200000047683716,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1889421640","display_name":null,"funder_award_id":"2019YFC510400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1994389483","https://openalex.org/W2119825970","https://openalex.org/W2135598826","https://openalex.org/W2144487656","https://openalex.org/W2800517790","https://openalex.org/W2892880750","https://openalex.org/W2914721378","https://openalex.org/W2963146368","https://openalex.org/W2966720510","https://openalex.org/W3004249040","https://openalex.org/W3045200674","https://openalex.org/W3080566854","https://openalex.org/W3100278010","https://openalex.org/W3104326162","https://openalex.org/W3114652457","https://openalex.org/W3155496675","https://openalex.org/W3170682786"],"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":{"Social":[0],"relations":[1,15,35,46,92],"are":[2,18],"often":[3],"used":[4],"as":[5],"auxiliary":[6],"information":[7],"to":[8,36,71,102,115,124],"improve":[9],"recommendations.":[10],"In":[11],"the":[12,41,78,87,121,146],"real-world,":[13],"social":[14,30,45,91],"among":[16,77,106],"users":[17,107],"complex":[19],"and":[20,93,108,119,128],"diverse.":[21],"However,":[22],"most":[23],"existing":[24],"recommendation":[25],"methods":[26],"assume":[27],"only":[28],"single":[29],"relation":[31,118],"(i.e.,":[32,50],"exploit":[33],"pairwise":[34],"mine":[37],"user":[38,48,55],"preferences),":[39],"ignoring":[40],"impact":[42],"of":[43,54,81,148],"multifaceted":[44],"on":[47,141],"preferences":[49],"high":[51],"order":[52],"complexity":[53],"relations).":[56],"Moreover,":[57],"an":[58],"observing":[59],"fact":[60],"is":[61],"that":[62],"similar":[63,67],"items":[64],"always":[65],"have":[66],"attractiveness":[68],"when":[69],"exposed":[70],"users,":[72],"indicating":[73],"a":[74,136],"potential":[75],"connection":[76],"static":[79],"attributes":[80],"items.":[82,109],"Here,":[83],"we":[84,111,129],"advocate":[85],"modeling":[86],"dual":[88],"homogeneity":[89],"from":[90],"item":[94],"connections":[95],"by":[96],"hypergraph":[97],"convolution":[98],"networks,":[99],"named":[100],"DH-HGCN,":[101],"obtain":[103],"high-order":[104],"correlations":[105],"Specifically,":[110],"use":[112,120],"sentiment":[113],"analysis":[114],"extract":[116],"comment":[117],"k-means":[122],"clustering":[123],"construct":[125],"item-item":[126],"correlations,":[127],"then":[130],"optimize":[131],"those":[132],"heterogeneous":[133],"graphs":[134],"in":[135],"unified":[137],"framework.":[138],"Extensive":[139],"experiments":[140],"two":[142],"real-world":[143],"datasets":[144],"demonstrate":[145],"effectiveness":[147],"our":[149],"model.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}