{"id":"https://openalex.org/W3199751003","doi":"https://doi.org/10.1145/3460231.3474265","title":"Towards Source-Aligned Variational Models for Cross-Domain Recommendation","display_name":"Towards Source-Aligned Variational Models for Cross-Domain Recommendation","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3199751003","doi":"https://doi.org/10.1145/3460231.3474265","mag":"3199751003"},"language":"en","primary_location":{"id":"doi:10.1145/3460231.3474265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460231.3474265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fifteenth ACM Conference on Recommender Systems","raw_type":"proceedings-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/A5039519070","display_name":"Aghiles Salah","orcid":"https://orcid.org/0000-0001-6749-244X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aghiles Salah","raw_affiliation_strings":["Rakuten Institute of Technology, France"],"affiliations":[{"raw_affiliation_string":"Rakuten Institute of Technology, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110974618","display_name":"Thanh Binh Tran","orcid":null},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Thanh Binh Tran","raw_affiliation_strings":["School of Computing and Information Systems Singapore Management University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065067629","display_name":"Hady W. Lauw","orcid":"https://orcid.org/0000-0002-8245-8677"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hady Lauw","raw_affiliation_strings":["School of Computing and Information Systems Singapore Management University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039519070"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1193,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.956059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"176","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9751999974250793,"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":0.8044248819351196},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7501239776611328},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6973659992218018},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.629157304763794},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6039071679115295},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5922353267669678},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5627946853637695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5143014192581177},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4846387505531311},{"id":"https://openalex.org/keywords/domain-model","display_name":"Domain model","score":0.481566458940506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4595858156681061},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43294093012809753},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4298979341983795},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4126392602920532},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33150237798690796},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.30021917819976807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10185721516609192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044248819351196},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7501239776611328},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6973659992218018},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.629157304763794},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6039071679115295},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5922353267669678},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5627946853637695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5143014192581177},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4846387505531311},{"id":"https://openalex.org/C92548554","wikidata":"https://www.wikidata.org/wiki/Q2262868","display_name":"Domain model","level":3,"score":0.481566458940506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4595858156681061},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43294093012809753},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4298979341983795},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4126392602920532},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33150237798690796},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.30021917819976807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10185721516609192},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3460231.3474265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460231.3474265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fifteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-7433","is_oa":false,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7433&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/3460231.3474265","raw_type":"Conference Proceeding Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1516111018","https://openalex.org/W1686946872","https://openalex.org/W1720514416","https://openalex.org/W1909320841","https://openalex.org/W1959608418","https://openalex.org/W2025605741","https://openalex.org/W2027731328","https://openalex.org/W2031696998","https://openalex.org/W2054141820","https://openalex.org/W2101409192","https://openalex.org/W2114079787","https://openalex.org/W2117420919","https://openalex.org/W2118338035","https://openalex.org/W2118674552","https://openalex.org/W2120667260","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2151464835","https://openalex.org/W2210543184","https://openalex.org/W2225156818","https://openalex.org/W2253995343","https://openalex.org/W2400248106","https://openalex.org/W2403286959","https://openalex.org/W2478957265","https://openalex.org/W2557579533","https://openalex.org/W2560674852","https://openalex.org/W2593390416","https://openalex.org/W2597760014","https://openalex.org/W2605350416","https://openalex.org/W2612388534","https://openalex.org/W2614794251","https://openalex.org/W2739521567","https://openalex.org/W2740605635","https://openalex.org/W2767948492","https://openalex.org/W2796608345","https://openalex.org/W2807858453","https://openalex.org/W2808764351","https://openalex.org/W2912073028","https://openalex.org/W2963085847","https://openalex.org/W2964159782","https://openalex.org/W2964184826","https://openalex.org/W2964995401","https://openalex.org/W2968753715","https://openalex.org/W2995234822","https://openalex.org/W2995389632","https://openalex.org/W2996891863","https://openalex.org/W2997617192","https://openalex.org/W3040516071","https://openalex.org/W3098400049","https://openalex.org/W3098638686","https://openalex.org/W3101380508","https://openalex.org/W3115386848","https://openalex.org/W3129840621","https://openalex.org/W4206313250"],"related_works":["https://openalex.org/W2616125534","https://openalex.org/W2963987720","https://openalex.org/W3022187094","https://openalex.org/W2146310005","https://openalex.org/W2963790827","https://openalex.org/W2770818364","https://openalex.org/W2786010873","https://openalex.org/W4293659211","https://openalex.org/W2913477697","https://openalex.org/W2293966869"],"abstract_inverted_index":{"Data":[0],"sparsity":[1],"is":[2,154,187],"a":[3,23,35,45,71,96,167],"long-standing":[4],"challenge":[5],"in":[6,19,34,87,132,150,170],"recommender":[7],"systems.":[8],"Among":[9],"existing":[10],"approaches":[11],"to":[12,30,48,70,81,83,100,157,189,205],"alleviate":[13],"this":[14,41,92,129],"problem,":[15],"cross-domain":[16,49,226],"recommendation":[17,33,50,227],"consists":[18],"leveraging":[20],"knowledge":[21],"from":[22],"source":[24,76,112,159,193],"domain":[25,37,77,153],"or":[26],"category":[27],"(e.g.,":[28,38],"Movies)":[29],"improve":[31,84],"item":[32],"target":[36,89,103,152,172,179],"Books).":[39],"In":[40,143,174],"work,":[42],"we":[43,64,67,79,94,117,126,134,164],"advocate":[44],"probabilistic":[46],"approach":[47],"and":[51,105,131,140,201],"rely":[52],"on":[53,74,214],"variational":[54,124,148,160,183],"autoencoders":[55],"(VAEs)":[56],"as":[57],"our":[58,210],"latent":[59,113,120],"variable":[60],"models.":[61,228],"More":[62],"precisely,":[63],"assume":[65],"that":[66,78,219],"have":[68],"access":[69],"VAE":[72,180],"trained":[73],"the":[75,88,102,111,119,123,144,147,151,158,171,175,178,197,207,220],"seek":[80],"leverage":[82],"preference":[85],"modeling":[86],"domain.":[90,173],"To":[91],"end,":[93],"propose":[95],"model":[97,118,149,169],"which":[98,186],"learns":[99],"fit":[101],"observations":[104],"align":[106],"its":[107,182,192],"hidden":[108],"space":[109,114],"with":[110],"jointly.":[115],"Since":[116],"spaces":[121],"by":[122],"posteriors,":[125],"operate":[127],"at":[128],"level,":[130],"particular,":[133],"investigate":[135],"two":[136],"approaches,":[137],"namely":[138],"rigid":[139],"soft":[141],"alignments.":[142],"former":[145],"scenario,":[146,177],"set":[155],"equal":[156],"model.":[161],"That":[162],"is,":[163],"only":[165],"learn":[166],"generative":[168],"soft-alignment":[176],"has":[181],"model,":[184],"but":[185],"encouraged":[188],"look":[190],"like":[191],"counterpart.":[194],"We":[195],"analyze":[196],"proposed":[198,221],"objectives":[199],"theoretically":[200],"conduct":[202],"extensive":[203],"experiments":[204],"illustrate":[206],"benefit":[208],"of":[209],"contribution.":[211],"Empirical":[212],"results":[213],"six":[215],"real-world":[216],"datasets":[217],"show":[218],"models":[222],"outperform":[223],"several":[224],"comparable":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
