{"id":"https://openalex.org/W3199222860","doi":"https://doi.org/10.1145/3460231.3478860","title":"Transfer Learning in Collaborative Recommendation for Bias Reduction","display_name":"Transfer Learning in Collaborative Recommendation for Bias Reduction","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3199222860","doi":"https://doi.org/10.1145/3460231.3478860","mag":"3199222860"},"language":"en","primary_location":{"id":"doi:10.1145/3460231.3478860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460231.3478860","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/A5101422410","display_name":"Zinan Lin","orcid":"https://orcid.org/0000-0002-0535-2537"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zinan Lin","raw_affiliation_strings":["Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003106644","display_name":"Dugang Liu","orcid":"https://orcid.org/0000-0003-3612-709X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dugang Liu","raw_affiliation_strings":["Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073490832","display_name":"Weike Pan","orcid":"https://orcid.org/0000-0001-6326-9531"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weike Pan","raw_affiliation_strings":["Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100633979","display_name":"Zhong Ming","orcid":"https://orcid.org/0000-0002-6933-5760"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Ming","raw_affiliation_strings":["Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101422410"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":1.9278,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88798932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"736","last_page":"740"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9818999767303467,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6233202219009399},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5929543375968933},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5523591041564941},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4490811824798584},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.417064905166626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22068223357200623},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20400673151016235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.060855358839035034}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6233202219009399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5929543375968933},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5523591041564941},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4490811824798584},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.417064905166626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22068223357200623},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20400673151016235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.060855358839035034},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460231.3478860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460231.3478860","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2084453805","display_name":null,"funder_award_id":"61836005, 61872249","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2020631728","https://openalex.org/W2054141820","https://openalex.org/W2137245235","https://openalex.org/W2142144955","https://openalex.org/W2165698076","https://openalex.org/W2593507512","https://openalex.org/W2605350416","https://openalex.org/W2629213068","https://openalex.org/W2907269736","https://openalex.org/W2912083425","https://openalex.org/W2963085847","https://openalex.org/W2998534896","https://openalex.org/W3034203759","https://openalex.org/W3035404611","https://openalex.org/W3088231796","https://openalex.org/W3103310105","https://openalex.org/W3153906321","https://openalex.org/W3164238513"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","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"],"abstract_inverted_index":{"In":[0,36],"a":[1,4,31,43,51,94,111],"recommender":[2],"system,":[3],"user\u2019s":[5,21],"interaction":[6,34,109],"is":[7],"often":[8],"biased":[9,32,70],"by":[10,106],"the":[11,20,69,81,84,103,122,138],"items\u2019":[12],"displaying":[13],"positions":[14],"and":[15,48,66,72,97,128],"popularity,":[16],"as":[17,19,121],"well":[18],"self-selection.":[22],"Most":[23],"existing":[24],"recommendation":[25],"models":[26,124],"are":[27],"built":[28],"using":[29],"such":[30],"user-system":[33],"data.":[35,74],"this":[37],"paper,":[38],"we":[39,79,101],"first":[40],"additionally":[41],"introduce":[42],"specially":[44],"collected":[45],"unbiased":[46,73,98],"data":[47,71,105],"then":[49,116],"propose":[50],"novel":[52],"transfer":[53,57,65,142],"learning":[54,113,143],"solution,":[55],"i.e.,":[56],"via":[58,83],"joint":[59,112],"reconstruction":[60],"(TJR),":[61],"to":[62,92],"achieve":[63],"knowledge":[64],"sharing":[67],"between":[68],"Specifically,":[75],"in":[76,90,110],"our":[77,126,141],"TJR,":[78],"refine":[80],"prediction":[82],"latent":[85],"features":[86],"containing":[87],"bias":[88],"information":[89],"order":[91],"obtain":[93],"more":[95],"accurate":[96],"prediction.":[99],"Moreover,":[100],"integrate":[102],"two":[104,134],"reconstructing":[107],"their":[108],"manner.":[114],"We":[115],"adopt":[117],"three":[118],"representative":[119],"methods":[120],"backbone":[123],"of":[125,140],"TJR":[127],"conduct":[129],"extensive":[130],"empirical":[131],"studies":[132],"on":[133],"public":[135],"datasets,":[136],"showcasing":[137],"effectiveness":[139],"solution":[144],"over":[145],"some":[146],"very":[147],"competitive":[148],"baselines.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}