{"id":"https://openalex.org/W3026319246","doi":"https://doi.org/10.1145/3397271.3401078","title":"Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation","display_name":"Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3026319246","doi":"https://doi.org/10.1145/3397271.3401078","mag":"3026319246"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.10473","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110529898","display_name":"Adit Krishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adit Krishnan","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008531526","display_name":"Mahashweta Das","orcid":"https://orcid.org/0000-0003-1714-1996"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahashweta Das","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087350627","display_name":"Mangesh Bendre","orcid":"https://orcid.org/0009-0002-5945-304X"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mangesh Bendre","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075211218","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0003-3020-9828"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018532037","display_name":"Hari Sundaram","orcid":"https://orcid.org/0000-0003-3315-6055"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hari Sundaram","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.9525,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.98183572,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1081","last_page":"1090"},"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/T10028","display_name":"Topic Modeling","score":0.9889000058174133,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9879000186920166,"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":0.8029110431671143},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7553300857543945},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.703082799911499},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6347887516021729},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5611612796783447},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5395063757896423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5092388391494751},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5000145435333252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4920923113822937},{"id":"https://openalex.org/keywords/social-web","display_name":"Social web","score":0.4813181161880493},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.4219702482223511},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4207088351249695},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41643691062927246},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.3720269203186035},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3650251030921936},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2028048038482666},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15435558557510376},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.1206081211566925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029110431671143},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7553300857543945},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.703082799911499},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6347887516021729},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5611612796783447},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5395063757896423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5092388391494751},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5000145435333252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4920923113822937},{"id":"https://openalex.org/C503923677","wikidata":"https://www.wikidata.org/wiki/Q2724244","display_name":"Social web","level":3,"score":0.4813181161880493},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.4219702482223511},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4207088351249695},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41643691062927246},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.3720269203186035},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3650251030921936},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2028048038482666},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15435558557510376},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1206081211566925}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3397271.3401078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.10473","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.10473","pdf_url":"https://arxiv.org/pdf/2005.10473","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.10473","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.10473","pdf_url":"https://arxiv.org/pdf/2005.10473","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W143867266","https://openalex.org/W1502375784","https://openalex.org/W1998889130","https://openalex.org/W2019767285","https://openalex.org/W2024060531","https://openalex.org/W2095705004","https://openalex.org/W2102937240","https://openalex.org/W2107438106","https://openalex.org/W2129679514","https://openalex.org/W2173520492","https://openalex.org/W2174940656","https://openalex.org/W2181083374","https://openalex.org/W2194775991","https://openalex.org/W2200000192","https://openalex.org/W2279034837","https://openalex.org/W2405459681","https://openalex.org/W2467604901","https://openalex.org/W2605350416","https://openalex.org/W2734755249","https://openalex.org/W2740605635","https://openalex.org/W2742093937","https://openalex.org/W2753433947","https://openalex.org/W2755458934","https://openalex.org/W2766422168","https://openalex.org/W2773640334","https://openalex.org/W2892821876","https://openalex.org/W2896537337","https://openalex.org/W2896691185","https://openalex.org/W2903334135","https://openalex.org/W2907206525","https://openalex.org/W2912073028","https://openalex.org/W2914294271","https://openalex.org/W2949197413","https://openalex.org/W2950361018","https://openalex.org/W2951116937","https://openalex.org/W2963061824","https://openalex.org/W2963085847","https://openalex.org/W2963323306","https://openalex.org/W2963476860","https://openalex.org/W2964052347","https://openalex.org/W2964121744","https://openalex.org/W2964278684","https://openalex.org/W2964288524","https://openalex.org/W2964983698","https://openalex.org/W2987684747","https://openalex.org/W2999693458","https://openalex.org/W3002293096","https://openalex.org/W3106251865"],"related_works":["https://openalex.org/W2398165842","https://openalex.org/W197922276","https://openalex.org/W4226158052","https://openalex.org/W1809731386","https://openalex.org/W4388863299","https://openalex.org/W2160332782","https://openalex.org/W2945818642","https://openalex.org/W2440023763","https://openalex.org/W2962474440","https://openalex.org/W2546529582"],"abstract_inverted_index":{"The":[0],"rapid":[1],"proliferation":[2],"of":[3,68,148],"new":[4],"users":[5,30],"and":[6,31,35,49,99,105,124,146,155,186],"items":[7,32],"on":[8,45,151],"the":[9,14,58,65,97,103,110,144],"social":[10],"web":[11],"has":[12],"aggravated":[13],"gray-sheep":[15],"user/long-tail":[16],"item":[17,106],"challenge":[18],"in":[19,109],"recommender":[20,70],"systems.":[21],"Historically,":[22],"cross-domain":[23,81],"co-clustering":[24],"methods":[25],"have":[26],"successfully":[27],"leveraged":[28],"shared":[29,46,95,122],"across":[33,96,117],"dense":[34,98],"sparse":[36,54,100,111,139],"domains":[37,56,118],"to":[38,52,74,87,119,183],"improve":[39],"inference":[40],"quality.":[41],"However,":[42],"they":[43],"rely":[44],"rating":[47],"data":[48],"cannot":[50],"scale":[51],"multiple":[53],"target":[55],"(i.e.,":[57],"one-to-many":[59],"transfer":[60],"setting).":[61],"This,":[62],"combined":[63],"with":[64,92,127,138],"increasing":[66],"adoption":[67],"neural":[69,77,89],"architectures,":[71],"motivates":[72],"us":[73],"develop":[75,120],"scalable":[76],"layer-transfer":[78],"approaches":[79],"for":[80,176],"learning.":[82],"Our":[83,179],"key":[84],"intuition":[85],"is":[86,181],"guide":[88],"collaborative":[90],"filtering":[91],"domain-invariant":[93],"components":[94],"domains,":[101],"improving":[102],"user":[104],"representations":[107],"learned":[108],"domains.":[112],"We":[113,142],"leverage":[114],"contextual":[115],"invariances":[116],"these":[121],"modules,":[123],"demonstrate":[125],"that":[126],"user-item":[128],"interaction":[129,140],"context,":[130],"we":[131],"can":[132],"learn-to-learn":[133],"informative":[134],"representation":[135],"spaces":[136],"even":[137],"data.":[141],"show":[143],"effectiveness":[145],"scalability":[147],"our":[149],"approach":[150,180],"two":[152],"public":[153],"datasets":[154],"a":[156,162],"massive":[157],"transaction":[158],"dataset":[159],"from":[160],"Visa,":[161],"global":[163],"payments":[164],"technology":[165],"company":[166],"(19%":[167],"Item":[168],"Recall,":[169],"3x":[170],"faster":[171],"vs.":[172],"training":[173],"separate":[174],"models":[175],"each":[177],"domain).":[178],"applicable":[182],"both":[184],"implicit":[185],"explicit":[187],"feedback":[188],"settings.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":9}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
