{"id":"https://openalex.org/W2740063619","doi":"https://doi.org/10.1145/3077136.3080774","title":"Cross-Domain Recommendation via Clustering on Multi-Layer Graphs","display_name":"Cross-Domain Recommendation via Clustering on Multi-Layer Graphs","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2740063619","doi":"https://doi.org/10.1145/3077136.3080774","mag":"2740063619"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3080774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th 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/A5009743365","display_name":"Aleksandr Farseev","orcid":"https://orcid.org/0000-0001-9455-7771"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Aleksandr Farseev","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084489834","display_name":"Ivan Samborskii","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ivan Samborskii","raw_affiliation_strings":["ITMO University, Saint-Petersburg, Russian Fed &amp; National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITMO University, Saint-Petersburg, Russian Fed &amp; National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112028318","display_name":"Andrey Filchenkov","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey Filchenkov","raw_affiliation_strings":["ITMO University, Saint-Petersburg, Russian Fed"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITMO University, Saint-Petersburg, Russian Fed","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.8879,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.98454607,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"204"},"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":0.9919000267982483,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8103008270263672},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7692928910255432},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6193013191223145},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5591957569122314},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.555752158164978},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4608094394207001},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.43592357635498047},{"id":"https://openalex.org/keywords/data-source","display_name":"Data source","score":0.4249735474586487},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4170539975166321},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4143926203250885},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4138340651988983},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4122685492038727},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4112461805343628},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39748725295066833},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.29765933752059937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2459014654159546},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1961233913898468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103008270263672},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7692928910255432},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6193013191223145},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5591957569122314},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.555752158164978},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4608094394207001},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.43592357635498047},{"id":"https://openalex.org/C2983685735","wikidata":"https://www.wikidata.org/wiki/Q5227355","display_name":"Data source","level":2,"score":0.4249735474586487},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4170539975166321},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4143926203250885},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4138340651988983},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4122685492038727},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4112461805343628},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39748725295066833},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29765933752059937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2459014654159546},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1961233913898468},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3077136.3080774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/167396","is_oa":false,"landing_page_url":"https://scholarbank.nus.edu.sg/handle/10635/167396","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6800000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W15879234","https://openalex.org/W63312149","https://openalex.org/W65998993","https://openalex.org/W153250912","https://openalex.org/W967321073","https://openalex.org/W1483985387","https://openalex.org/W1570599663","https://openalex.org/W1585610988","https://openalex.org/W1963930499","https://openalex.org/W1974289028","https://openalex.org/W1976529824","https://openalex.org/W1977556410","https://openalex.org/W1980431326","https://openalex.org/W1994123095","https://openalex.org/W1994389483","https://openalex.org/W2004234600","https://openalex.org/W2009871859","https://openalex.org/W2015358441","https://openalex.org/W2029549784","https://openalex.org/W2040858299","https://openalex.org/W2042281163","https://openalex.org/W2044601481","https://openalex.org/W2059861509","https://openalex.org/W2062682184","https://openalex.org/W2063718055","https://openalex.org/W2072596762","https://openalex.org/W2080046063","https://openalex.org/W2087497496","https://openalex.org/W2094286023","https://openalex.org/W2108598243","https://openalex.org/W2121947440","https://openalex.org/W2126751256","https://openalex.org/W2127048411","https://openalex.org/W2132914434","https://openalex.org/W2133777313","https://openalex.org/W2137901062","https://openalex.org/W2171960770","https://openalex.org/W2243778830","https://openalex.org/W2340502990","https://openalex.org/W2465017405","https://openalex.org/W2468060850","https://openalex.org/W2489406233","https://openalex.org/W2525024647","https://openalex.org/W2564349309","https://openalex.org/W2566153047","https://openalex.org/W2602753196","https://openalex.org/W2604592713","https://openalex.org/W2604792326","https://openalex.org/W2604849926","https://openalex.org/W2605531266","https://openalex.org/W2617837836","https://openalex.org/W2626473670","https://openalex.org/W2741249238","https://openalex.org/W2750011684","https://openalex.org/W2993845287","https://openalex.org/W3102641634","https://openalex.org/W4240280323","https://openalex.org/W4301312111","https://openalex.org/W6625295284","https://openalex.org/W6677945368","https://openalex.org/W6736575291","https://openalex.org/W6750968397","https://openalex.org/W6771508280","https://openalex.org/W7000932957"],"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":{"Venue":[0],"category":[1],"recommendation":[2,53,60,72,86],"is":[3,38,62,68,108],"an":[4],"essential":[5],"application":[6],"for":[7,176],"the":[8,124,155,185,189],"tourism":[9],"and":[10,93,123,147,164],"advertisement":[11],"industries,":[12],"wherein":[13],"it":[14,37],"may":[15],"suggest":[16,172],"attractive":[17],"localities":[18],"within":[19],"close":[20],"proximity":[21],"to":[22,40,50,57,63,70,128],"users'":[23],"current":[24],"location.":[25],"Considering":[26],"that":[27],"many":[28],"adults":[29],"use":[30],"more":[31],"than":[32],"three":[33],"social":[34,47,103],"networks":[35],"simultaneously,":[36],"reasonable":[39],"leverage":[41],"on":[42,99,111,184],"this":[43],"rapidly":[44],"growing":[45],"multi-source":[46,135,159],"media":[48,104],"data":[49,100,166],"boost":[51],"venue":[52],"performance.":[54],"Another":[55],"approach":[56,175],"achieve":[58],"higher":[59],"results":[61,153],"utilize":[64,134],"group":[65,94],"knowledge,":[66,95],"which":[67,89,118,187],"able":[69],"diversify":[71],"output.":[73],"Taking":[74],"into":[75],"account":[76],"these":[77],"two":[78],"aspects,":[79],"we":[80,138,171],"introduce":[81],"a":[82,173],"novel":[83],"cross-network":[84],"collaborative":[85],"framework":[87,160],"C3R,":[88],"utilizes":[90,119],"both":[91,120],"individual":[92],"while":[96],"being":[97],"trained":[98],"from":[101],"multiple":[102],"sources.":[105],"Group":[106],"knowledge":[107],"derived":[109],"based":[110,183],"new":[112,174],"cross-source":[113],"user":[114],"community":[115],"detection":[116],"approach,":[117],"inter-source":[121],"relationship":[122,181],"ability":[125],"of":[126,157,179,191],"sources":[127],"complement":[129],"each":[130],"other.":[131],"To":[132],"fully":[133],"multi-view":[136],"data,":[137,186],"process":[139],"user-generated":[140],"content":[141],"by":[142],"employing":[143],"state-of-the-art":[144,162],"text,":[145],"image,":[146],"location":[148],"processing":[149],"techniques.":[150],"Our":[151],"experimental":[152],"demonstrate":[154],"superiority":[156],"our":[158],"over":[161],"baselines":[163],"different":[165],"source":[167],"combinations.":[168],"In":[169],"addition,":[170],"automatic":[177],"construction":[178],"inter-network":[180],"graph":[182],"eliminates":[188],"necessity":[190],"having":[192],"pre-defined":[193],"domain":[194],"knowledge.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
