{"id":"https://openalex.org/W4413267162","doi":"https://doi.org/10.1109/tsc.2025.3593346","title":"An Effective Multi-Scale Contrastive Learning System for Online Group Recommendation Services in Event-Based Social Networks","display_name":"An Effective Multi-Scale Contrastive Learning System for Online Group Recommendation Services in Event-Based Social Networks","publication_year":2025,"publication_date":"2025-07-28","ids":{"openalex":"https://openalex.org/W4413267162","doi":"https://doi.org/10.1109/tsc.2025.3593346"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2025.3593346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2025.3593346","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Services Computing","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/A5066452030","display_name":"Huang Xiao-mei","orcid":"https://orcid.org/0000-0002-7441-3444"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomei Huang","raw_affiliation_strings":["School of Software, Jiangxi Normal University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-7441-3444","affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680516","display_name":"Zhiheng Zhou","orcid":"https://orcid.org/0000-0003-4269-5173"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiheng Zhou","raw_affiliation_strings":["State Key Laboratory of Public Big Data, GuiZhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, GuiZhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439805","display_name":"Jianjun Li","orcid":"https://orcid.org/0000-0002-9651-7658"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Li","raw_affiliation_strings":["School of Software, Jiangxi Normal University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103216531","display_name":"Naixue Xiong","orcid":"https://orcid.org/0000-0002-0394-4635"},"institutions":[{"id":"https://openalex.org/I162709352","display_name":"Sul Ross State University","ror":"https://ror.org/03x7qhw59","country_code":"US","type":"education","lineage":["https://openalex.org/I162709352"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neal N. Xiong","raw_affiliation_strings":["Department of Computer Science and Mathematics, Sul Ross State University, Alpine, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-0394-4635","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Sul Ross State University, Alpine, TX, USA","institution_ids":["https://openalex.org/I162709352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074492862","display_name":"Yugen Yi","orcid":"https://orcid.org/0000-0001-9828-0319"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugen Yi","raw_affiliation_strings":["School of Software, Jiangxi Normal University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-9828-0319","affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jin Liu","orcid":"https://orcid.org/0009-0004-1882-9471"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Liu","raw_affiliation_strings":["School of Software, Jiangxi Normal University, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0004-1882-9471","affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046565174","display_name":"Guoqiong Liao","orcid":"https://orcid.org/0000-0002-0629-165X"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiong Liao","raw_affiliation_strings":["Modern Industry School of Virtual Reality (VR), Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-0629-165X","affiliations":[{"raw_affiliation_string":"Modern Industry School of Virtual Reality (VR), Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0534,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94304547,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"18","issue":"5","first_page":"2616","last_page":"2631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.871999979019165,"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":0.871999979019165,"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/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.8361999988555908,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.8274999856948853,"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/computer-science","display_name":"Computer science","score":0.8317821025848389},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.556424081325531},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4949192404747009},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4595355987548828},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4554968476295471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4266698658466339},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38703039288520813},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3608494997024536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8317821025848389},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.556424081325531},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4949192404747009},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4595355987548828},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4554968476295471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4266698658466339},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38703039288520813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3608494997024536},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsc.2025.3593346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2025.3593346","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Services Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2086286173","display_name":"\u57fa\u4e8e\u5f69\u8272\u773c\u5e95\u56fe\u50cf\u7684\u9752\u5149\u773c\u8f85\u52a9\u8bca\u65ad\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62062040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5333975695","display_name":null,"funder_award_id":"61772245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6837883785","display_name":null,"funder_award_id":"20242BAB25067","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G7772896251","display_name":null,"funder_award_id":"62261028","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"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2127526138","https://openalex.org/W2171279286","https://openalex.org/W2295739661","https://openalex.org/W2579808902","https://openalex.org/W2593801052","https://openalex.org/W2795104036","https://openalex.org/W2913189099","https://openalex.org/W2921942806","https://openalex.org/W2928021002","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W3065542300","https://openalex.org/W3087948925","https://openalex.org/W3094605801","https://openalex.org/W3117548067","https://openalex.org/W3121961568","https://openalex.org/W3133849783","https://openalex.org/W3154113024","https://openalex.org/W3206127589","https://openalex.org/W3206310679","https://openalex.org/W3208338073","https://openalex.org/W3212275514","https://openalex.org/W4205373269","https://openalex.org/W4213174824","https://openalex.org/W4224315226","https://openalex.org/W4224316819","https://openalex.org/W4225791184","https://openalex.org/W4281747803","https://openalex.org/W4306317707","https://openalex.org/W4318563511","https://openalex.org/W4327525152","https://openalex.org/W4366590125","https://openalex.org/W4376456850","https://openalex.org/W4377030673","https://openalex.org/W4379539462","https://openalex.org/W4384655737","https://openalex.org/W4385245566","https://openalex.org/W4386108456","https://openalex.org/W4389722817","https://openalex.org/W4389742407","https://openalex.org/W4390576827","https://openalex.org/W4391376193","https://openalex.org/W4392384832","https://openalex.org/W4393034205"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"On":[0],"event-based":[1,134],"social":[2,135],"platforms":[3],"such":[4],"as":[5,12],"Meetup":[6,242],"and":[7,32,153,167,216],"Douban,":[8],"online":[9,51,123],"groups":[10,41,71,96,181],"serve":[11],"more":[13,186,221],"than":[14],"virtual":[15],"communities":[16],"for":[17,28,122,204],"users":[18,29,73,88,98,108,162,184],"to":[19,30,60,101,105,109,145,188],"share":[20],"experiences,":[21],"they":[22,64],"also":[23],"provide":[24],"an":[25,116,198],"essential":[26],"pathway":[27],"discover":[31],"participate":[33,74],"in":[34,75,93,133],"offline":[35],"events.":[36],"As":[37],"the":[38,45,48,67,70,95,111,142,147,151,158,164,169,174,179,192,205,226,229,244],"number":[39,79],"of":[40,47,50,80,160,182,246],"grows,":[42],"it":[43],"imposes":[44],"need":[46],"study":[49],"group":[52,175],"recommendation.":[53],"Despite":[54],"there":[55],"being":[56],"many":[57],"existing":[58,251],"approaches":[59],"solve":[61],"this":[62],"problem,":[63],"all":[65],"ignore":[66],"phenomenon":[68,84],"that":[69,72,86,97],"often":[76],"contain":[77],"a":[78,90,130],"similar":[81,87,107,161,183],"users.":[82],"This":[83],"implies":[85],"play":[89],"crucial":[91],"role":[92],"identifying":[94],"are":[99,185],"likely":[100,187],"join.":[102],"In":[103],"order":[104],"exploit":[106],"improve":[110],"recommendation":[112],"performance,":[113],"we":[114,139,196],"propose":[115,197],"effective":[117,199],"multi-scale":[118,200],"contrastive":[119,201],"learning":[120,202],"system":[121],"Group":[124],"Recommendation":[125],"services,":[126],"which":[127,178],"is":[128],"with":[129],"two-Tower":[131],"model":[132,144,249],"networks":[136],"(Tower4GR).":[137],"Specifically,":[138],"first":[140],"adopt":[141],"two-tower":[143,206],"capture":[146],"interactive":[148],"signals":[149,211],"within":[150],"sequences":[152],"groups.":[154],"We":[155],"then":[156],"incorporate":[157],"features":[159,172],"into":[163,173],"sequence":[165],"encoder,":[166,176],"aggregate":[168],"relevant":[170],"users\u2019":[171],"through":[177],"preferred":[180],"be":[189],"discovered":[190],"by":[191],"target":[193],"user.":[194],"Finally,":[195],"framework":[203,227],"architecture.":[207],"It":[208],"derives":[209],"self-supervision":[210],"from":[212,241],"both":[213],"same-scale":[214],"data":[215,223],"cross-scale":[217],"data,":[218],"thereby":[219],"extracting":[220],"meaningful":[222],"patterns.":[224],"Moreover,":[225],"strengthens":[228],"cooperative":[230],"associations":[231],"between":[232],"two":[233],"towers.":[234],"Extensive":[235],"experiments":[236],"on":[237],"three":[238],"real-world":[239],"datasets":[240],"demonstrate":[243],"superiority":[245],"our":[247],"proposed":[248],"over":[250],"state-of-the-art":[252],"models.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}