{"id":"https://openalex.org/W2782731323","doi":"https://doi.org/10.1145/3159652.3159675","title":"Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation","display_name":"Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation","publication_year":2018,"publication_date":"2018-02-02","ids":{"openalex":"https://openalex.org/W2782731323","doi":"https://doi.org/10.1145/3159652.3159675","mag":"2782731323"},"language":"en","primary_location":{"id":"doi:10.1145/3159652.3159675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3159652.3159675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining","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/A5100764621","display_name":"Ming He","orcid":"https://orcid.org/0000-0001-6230-3646"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming He","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103143630","display_name":"Jiuling Zhang","orcid":"https://orcid.org/0000-0003-1365-7987"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuling Zhang","raw_affiliation_strings":["Beijing University of Technology, Beijing , China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing , China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101853888","display_name":"Peng Yang","orcid":"https://orcid.org/0000-0003-1861-4759"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yang","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103119755","display_name":"Kaisheng Yao","orcid":"https://orcid.org/0000-0002-8949-9367"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaisheng Yao","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100764621"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":9.4157,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.9794531,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"233"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9926999807357788,"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":0.9190999865531921,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.8434784412384033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8249726891517639},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8031151294708252},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8011559247970581},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6629614233970642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5617290139198303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5436538457870483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.511566698551178},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5028011798858643},{"id":"https://openalex.org/keywords/collaborative-learning","display_name":"Collaborative learning","score":0.42891889810562134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07109668850898743}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8434784412384033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8249726891517639},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8031151294708252},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8011559247970581},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6629614233970642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5617290139198303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5436538457870483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.511566698551178},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5028011798858643},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.42891889810562134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07109668850898743},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3159652.3159675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3159652.3159675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.47999998927116394,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W143867266","https://openalex.org/W805665992","https://openalex.org/W1228575997","https://openalex.org/W1613613084","https://openalex.org/W1971327737","https://openalex.org/W1984704375","https://openalex.org/W2014321108","https://openalex.org/W2019786737","https://openalex.org/W2043545458","https://openalex.org/W2066587238","https://openalex.org/W2070683575","https://openalex.org/W2113251733","https://openalex.org/W2118338035","https://openalex.org/W2134234438","https://openalex.org/W2140088378","https://openalex.org/W2168103112","https://openalex.org/W2278876257","https://openalex.org/W2412281322","https://openalex.org/W2511781311","https://openalex.org/W2519368133","https://openalex.org/W2523379725","https://openalex.org/W2523451931","https://openalex.org/W2524052287","https://openalex.org/W2525176054","https://openalex.org/W2547411571","https://openalex.org/W2547996451","https://openalex.org/W2548775690","https://openalex.org/W2560684428","https://openalex.org/W2563929989","https://openalex.org/W2583817998","https://openalex.org/W2587115404","https://openalex.org/W2588773726","https://openalex.org/W2596285588"],"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":{"Collaborative":[0],"filtering":[1,21,66],"techniques":[2],"are":[3],"a":[4,73,122,143,164],"common":[5],"approach":[6,196],"for":[7,170],"building":[8],"recommendations,":[9],"and":[10,199],"have":[11],"been":[12],"widely":[13],"applied":[14],"in":[15,64,81,129,183],"real":[16],"recommender":[17,105],"systems.":[18,106],"However,":[19],"collaborative":[20,65,172],"usually":[22,41],"suffers":[23],"from":[24,56,95,117],"limited":[25],"performance":[26],"due":[27],"to":[28,43,91,100,136,147,178],"the":[29,45,50,69,102,110,115,118,130,137,153,158,184],"sparsity":[30],"of":[31,53,61,104],"user-item":[32],"interaction.":[33],"To":[34],"address":[35],"this":[36,86],"issue,":[37],"auxiliary":[38,57],"information":[39],"is":[40,67,72,175,197],"used":[42],"improve":[44,101],"performance.":[46],"Transfer":[47],"learning":[48,63,168],"provides":[49],"key":[51],"idea":[52],"using":[54],"knowledge":[55,116,144],"domains.":[58],"An":[59],"assumption":[60],"transfer":[62,167],"that":[68,193],"source":[70,98,119,159],"domain":[71,120],"full":[74,154],"rating":[75,93,124,127,149,155],"matrix,":[76],"which":[77,174],"may":[78],"not":[79],"hold":[80],"many":[82],"real-world":[83,190],"applications.":[84],"In":[85],"paper,":[87],"we":[88,113,141,162],"investigate":[89],"how":[90],"leverage":[92],"patterns":[94,128,150],"multiple":[96],"incomplete":[97],"domains":[99],"quality":[103],"First,":[107],"by":[108,151],"exploiting":[109],"transferred":[111,135],"learning,":[112],"compress":[114],"into":[121],"cluster-level":[123],"matrix.":[125],"The":[126],"low-level":[131],"matrix":[132],"can":[133],"be":[134],"target":[138,185],"domain.":[139,160,186],"Specifically,":[140],"design":[142],"extraction":[145],"method":[146],"enrich":[148],"relaxing":[152],"restriction":[156],"on":[157,189],"Finally,":[161],"propose":[163],"robust":[165],"multiple-rating-pattern":[166],"model":[169],"cross-domain":[171],"filtering,":[173],"called":[176],"MINDTL,":[177],"accurately":[179],"predict":[180],"missing":[181],"values":[182],"Extensive":[187],"experiments":[188],"datasets":[191],"demonstrate":[192],"our":[194],"proposed":[195],"effective":[198],"outperforms":[200],"several":[201],"alternative":[202],"methods.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":13},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2025-10-10T00:00:00"}
