{"id":"https://openalex.org/W2949920370","doi":"https://doi.org/10.1109/tkde.2019.2923904","title":"Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation","display_name":"Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation","publication_year":2019,"publication_date":"2019-06-20","ids":{"openalex":"https://openalex.org/W2949920370","doi":"https://doi.org/10.1109/tkde.2019.2923904","mag":"2949920370"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2923904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2923904","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5101538420","display_name":"Quan Do","orcid":"https://orcid.org/0000-0002-3011-5891"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Quan Do","raw_affiliation_strings":["Advanced Analytics Institute, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Advanced Analytics Institute, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431652","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-6565-5815"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Advanced Analytics Institute, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Advanced Analytics Institute, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023356924","display_name":"Jin Fan","orcid":"https://orcid.org/0000-0002-6681-9209"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Fan","raw_affiliation_strings":["College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["UBTECH Sydney Artificial Intelligence Center and the School of Information Technologies, the Faculty of Engineering and Information Technologies, University of Sydney, Camperdown, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"UBTECH Sydney Artificial Intelligence Center and the School of Information Technologies, the Faculty of Engineering and Information Technologies, University of Sydney, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101538420"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":5.6371,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96110404,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"33","issue":"1","first_page":"302","last_page":"315"},"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":0.9868999719619751,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9789000153541565,"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":0.8375778198242188},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7121322751045227},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6894912719726562},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6726462841033936},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6499228477478027},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6243038177490234},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4563307464122772},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.41226693987846375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4018436670303345},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39076119661331177},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32302674651145935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32076334953308105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3090660870075226}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8375778198242188},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7121322751045227},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6894912719726562},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6726462841033936},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6499228477478027},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6243038177490234},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4563307464122772},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.41226693987846375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4018436670303345},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39076119661331177},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32302674651145935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32076334953308105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3090660870075226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2019.2923904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2923904","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G7030339282","display_name":null,"funder_award_id":"2018c04001","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"},{"id":"https://openalex.org/G7823400218","display_name":null,"funder_award_id":"61602141","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/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W143867266","https://openalex.org/W193545200","https://openalex.org/W1502375784","https://openalex.org/W1613613084","https://openalex.org/W1632866817","https://openalex.org/W1680085838","https://openalex.org/W1956916606","https://openalex.org/W1994576006","https://openalex.org/W2011399509","https://openalex.org/W2014321108","https://openalex.org/W2024165284","https://openalex.org/W2037137187","https://openalex.org/W2043545458","https://openalex.org/W2054141820","https://openalex.org/W2064771454","https://openalex.org/W2071979989","https://openalex.org/W2101409192","https://openalex.org/W2116206254","https://openalex.org/W2117420919","https://openalex.org/W2118338035","https://openalex.org/W2118674552","https://openalex.org/W2129679514","https://openalex.org/W2135029798","https://openalex.org/W2144685566","https://openalex.org/W2165949563","https://openalex.org/W2167765321","https://openalex.org/W2183585960","https://openalex.org/W2219531456","https://openalex.org/W2386888220","https://openalex.org/W2399386490","https://openalex.org/W2463983882","https://openalex.org/W2520495422","https://openalex.org/W2566424107","https://openalex.org/W2588703347","https://openalex.org/W2794871256","https://openalex.org/W3098649723","https://openalex.org/W3143596294","https://openalex.org/W4230065791","https://openalex.org/W4297971002","https://openalex.org/W6605917969","https://openalex.org/W6607789936","https://openalex.org/W6629940606","https://openalex.org/W6636705969","https://openalex.org/W6640972649","https://openalex.org/W6680012447","https://openalex.org/W6684568249","https://openalex.org/W6688609405","https://openalex.org/W6712915529"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"E-commerce":[0],"businesses":[1],"are":[2,118,131,146],"increasingly":[3],"dependent":[4],"on":[5,99,153,206],"recommendation":[6,62,222],"systems":[7],"to":[8,14,59,66,86,149,159,167,178],"introduce":[9],"personalized":[10],"services":[11],"and":[12,26,48,57,90,143,172,183,234],"products":[13],"targeted":[15],"customers.":[16],"Providing":[17],"effective":[18],"recommendations":[19],"requires":[20],"sufficient":[21],"knowledge":[22,72,199],"about":[23],"user":[24],"preferences":[25],"product":[27],"(item)":[28],"characteristics.":[29],"Given":[30],"the":[31,44,122,128,154,161,165,169,174,187,192,196,201,228],"current":[32],"abundance":[33],"of":[34,43,71,114,127,140,164,198,221,230],"available":[35],"data":[36],"across":[37,74,96,200],"domains,":[38],"achieving":[39],"a":[40,60,78,108],"thorough":[41],"understanding":[42],"relationship":[45],"between":[46],"users":[47],"items":[49],"can":[50],"bring":[51],"in":[52,107,219],"more":[53,215],"collaborative":[54],"filtering":[55],"power":[56],"lead":[58],"higher":[61],"accuracy.":[63,223],"However,":[64],"how":[65],"effectively":[67],"utilize":[68],"different":[69],"types":[70],"obtained":[73],"domains":[75,97],"is":[76,191],"still":[77],"challenging":[79],"problem.":[80],"In":[81,102],"this":[82],"paper,":[83],"we":[84,157],"propose":[85,158],"discover":[87],"both":[88,141,232],"explicit":[89,233],"implicit":[91,181,235],"similarities":[92,182,236],"from":[93],"latent":[94],"factors":[95,106,126,145,177],"based":[98],"matrix":[100,163],"tri-factorization.":[101],"our":[103,209],"research,":[104],"common":[105,142],"shared":[109,129],"dimension":[110,130],"(users":[111],"or":[112],"items)":[113],"two":[115,217],"coupled":[116],"matrices":[117],"discovered,":[119],"while":[120],"at":[121],"same":[123],"time,":[124],"domain-specific":[125,144],"also":[132],"preserved.":[133],"We":[134],"will":[135],"show":[136],"that":[137,194],"such":[138],"preservation":[139],"significantly":[147],"beneficial":[148],"cross-domain":[150,180],"recommendations.":[151,240],"Moreover,":[152],"non-shared":[155,202],"dimension,":[156],"use":[160],"middle":[162],"tri-factorization":[166],"match":[168],"unique":[170,176],"factors,":[171],"align":[173],"matched":[175],"transfer":[179,197],"thus":[184],"further":[185],"improve":[186],"recommendation.":[188],"This":[189],"research":[190],"first":[193],"proposes":[195],"(non-coupled)":[203],"dimensions.":[204],"Validated":[205],"real-world":[207],"datasets,":[208],"approach":[210],"outperforms":[211],"existing":[212],"algorithms":[213],"by":[214],"than":[216],"times":[218],"terms":[220],"These":[224],"empirical":[225],"results":[226],"illustrate":[227],"potential":[229],"utilizing":[231],"for":[237],"making":[238],"across-domain":[239]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}