{"id":"https://openalex.org/W4399418439","doi":"https://doi.org/10.1145/3652583.3658021","title":"TrustGo: Trust Mining and Multi-semantic Regularization in Social Recommendation","display_name":"TrustGo: Trust Mining and Multi-semantic Regularization in Social Recommendation","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4399418439","doi":"https://doi.org/10.1145/3652583.3658021"},"language":"en","primary_location":{"id":"doi:10.1145/3652583.3658021","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658021","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658021","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658021","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082460527","display_name":"Shenghao Liu","orcid":"https://orcid.org/0000-0001-8993-8940"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shenghao Liu","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8993-8940","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017718989","display_name":"Yuqin Lan","orcid":"https://orcid.org/0009-0001-2640-720X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqin Lan","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0001-2640-720X","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102831516","display_name":"Xianjun Deng","orcid":"https://orcid.org/0000-0003-2641-1708"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianjun Deng","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2641-1708","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015720249","display_name":"Lingzhi Yi","orcid":"https://orcid.org/0000-0002-3051-3822"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingzhi Yi","raw_affiliation_strings":["Zhongnan University of Economics and Law, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3051-3822","affiliations":[{"raw_affiliation_string":"Zhongnan University of Economics and Law, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014135096","display_name":"Chenlu Zhu","orcid":"https://orcid.org/0000-0003-2175-6221"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenlu Zhu","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2175-6221","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049154222","display_name":"Laurence T. Yang","orcid":"https://orcid.org/0000-0002-7986-4244"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laurence Yang","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7986-4244","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103285073","display_name":"Jong Hyuk Park","orcid":"https://orcid.org/0000-0003-1831-0309"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jong Hyuk Park","raw_affiliation_strings":["Seoul National University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1831-0309","affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology, Wuhan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5082460527"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":2.984,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92226866,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"888","last_page":"896"},"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":0.9970999956130981,"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":0.9801999926567078,"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/computer-science","display_name":"Computer science","score":0.8047527074813843},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6916614770889282},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.6501747369766235},{"id":"https://openalex.org/keywords/semantic-space","display_name":"Semantic space","score":0.6487493515014648},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4771665632724762},{"id":"https://openalex.org/keywords/semantic-network","display_name":"Semantic network","score":0.4602557420730591},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42369765043258667},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.41466158628463745},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4087510108947754},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33914440870285034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3073442280292511},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21076378226280212},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.14847028255462646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8047527074813843},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6916614770889282},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.6501747369766235},{"id":"https://openalex.org/C2986420190","wikidata":"https://www.wikidata.org/wiki/Q39045939","display_name":"Semantic space","level":2,"score":0.6487493515014648},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4771665632724762},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.4602557420730591},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42369765043258667},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.41466158628463745},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4087510108947754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33914440870285034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3073442280292511},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21076378226280212},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.14847028255462646},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652583.3658021","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658021","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658021","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3652583.3658021","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658021","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658021","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399418439.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1966472199","https://openalex.org/W1994226161","https://openalex.org/W2039613841","https://openalex.org/W2080567541","https://openalex.org/W2119825970","https://openalex.org/W2135598826","https://openalex.org/W2144487656","https://openalex.org/W2221516123","https://openalex.org/W2244405900","https://openalex.org/W2343271409","https://openalex.org/W2509678028","https://openalex.org/W2605350416","https://openalex.org/W2621465063","https://openalex.org/W2896367309","https://openalex.org/W2963146368","https://openalex.org/W3003875435","https://openalex.org/W3014559949","https://openalex.org/W4243820922","https://openalex.org/W4280601154","https://openalex.org/W4301312111","https://openalex.org/W4312696048","https://openalex.org/W4315651787","https://openalex.org/W4319264351","https://openalex.org/W4322495302","https://openalex.org/W4385782246"],"related_works":["https://openalex.org/W2242995724","https://openalex.org/W4386907948","https://openalex.org/W2562325365","https://openalex.org/W2354555681","https://openalex.org/W4323520214","https://openalex.org/W3134661641","https://openalex.org/W2376793334","https://openalex.org/W3086360767","https://openalex.org/W2113773251","https://openalex.org/W201712695"],"abstract_inverted_index":{"\\beginabstract":[0],"Social":[1],"network":[2,50,80,86,106,120,152],"has":[3],"obtained":[4],"extensive":[5],"attention":[6],"in":[7,48,58,117,150,186],"recommender":[8],"system.":[9],"Existing":[10],"social":[11,16,49,64,85,151,164],"recommendation":[12,28,210],"models":[13],"mostly":[14],"leverage":[15],"relations":[17],"to":[18,121,179,207],"capture":[19],"potential":[20],"interactions":[21],"between":[22],"users":[23,124],"and":[24,39,51,70,87,103,125,153,167],"items,":[25],"thereby":[26],"enhancing":[27],"performance.":[29],"However,":[30],"these":[31],"methods":[32],"ignore":[33],"the":[34,40,43,83,97,123,141,146,163,181,187],"fine-grained":[35],"bidirectional":[36],"trust":[37,79,98],"weight":[38],"constraint":[41],"on":[42,82,196],"relative":[44,182],"positions":[45,183],"of":[46,184,190],"entities":[47,185],"user-item":[52,104,154,168],"interaction":[53,105,155],"network.":[54,93,110],"To":[55],"this":[56,59,118],"end,":[57],"paper,":[60],"we":[61,75,95,138,157],"propose":[62],"a":[63,78,89,108,113,128,173],"rec<u>o</u>mmendation":[65],"framework":[66],"with":[67],"<u>Trust</u>":[68],"mining":[69],"multi-semantic":[71,174],"re<u>G</u>ularization":[72],"(TrustGo).":[73],"Specifically,":[74],"firstly":[76],"construct":[77],"based":[81,115],"observed":[84],"establish":[88],"high-quality":[90],"item":[91,100],"implicit":[92,101],"Then,":[94],"integrate":[96],"network,":[99,102,156],"into":[107,127],"heterogeneous":[109,119],"We":[111],"introduce":[112],"meta-path":[114],"aggregation":[116],"map":[122],"items":[126],"latent":[129],"space.":[130,171],"And":[131,172],"then,":[132],"by":[133],"using":[134],"an":[135],"ensemble":[136],"method,":[137],"can":[139],"obtain":[140],"final":[142],"prediction":[143],"ratings.":[144],"Considering":[145],"users'":[147],"different":[148],"behaviors":[149],"define":[158],"two":[159,188],"semantic":[160,165,170,191],"spaces,":[161,192],"i.e.,":[162],"space":[166],"interactional":[169],"regularization":[175],"module":[176],"is":[177,205],"designed":[178],"adjust":[180],"kinds":[189],"respectively.":[193],"Extensive":[194],"experiments":[195],"three":[197],"real-world":[198],"datasets":[199],"demonstrate":[200],"that":[201],"our":[202],"TrustGo":[203],"model":[204],"superior":[206],"other":[208],"state-of-the-art":[209],"models.":[211],"\\endabstract":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}