{"id":"https://openalex.org/W3088231796","doi":"https://doi.org/10.1145/3383313.3412210","title":"Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning","display_name":"Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning","publication_year":2020,"publication_date":"2020-09-19","ids":{"openalex":"https://openalex.org/W3088231796","doi":"https://doi.org/10.1145/3383313.3412210","mag":"3088231796"},"language":"en","primary_location":{"id":"doi:10.1145/3383313.3412210","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383313.3412210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019994221","display_name":"Ziwei Zhu","orcid":"https://orcid.org/0000-0002-3990-4774"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziwei Zhu","raw_affiliation_strings":["Texas A&M University CSE department, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University CSE department, United States","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101789180","display_name":"Yun He","orcid":"https://orcid.org/0000-0001-9462-4583"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun He","raw_affiliation_strings":["Texas A&M University CSE department, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University CSE department, United States","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343712","display_name":"Yin Zhang\u22c6","orcid":"https://orcid.org/0000-0002-1772-0763"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yin Zhang","raw_affiliation_strings":["Texas A&M University CSE department, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University CSE department, United States","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048489384","display_name":"James Caverlee","orcid":"https://orcid.org/0000-0001-8350-8528"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Caverlee","raw_affiliation_strings":["Texas A&M University CSE department, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University CSE department, United States","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"551","last_page":"556"},"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":0.9818999767303467,"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/T10028","display_name":"Topic Modeling","score":0.972000002861023,"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":0.7362474799156189},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.58391273021698},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.5756653547286987},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5090433955192566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5028521418571472},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.44781896471977234},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4282485842704773},{"id":"https://openalex.org/keywords/unbiased-estimation","display_name":"Unbiased Estimation","score":0.42645037174224854},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.41252806782722473},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22549274563789368},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16220903396606445},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15790441632270813},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07749158143997192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7362474799156189},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.58391273021698},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.5756653547286987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5090433955192566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5028521418571472},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.44781896471977234},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4282485842704773},{"id":"https://openalex.org/C2909318450","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Unbiased Estimation","level":3,"score":0.42645037174224854},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.41252806782722473},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22549274563789368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16220903396606445},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15790441632270813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07749158143997192},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383313.3412210","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383313.3412210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4411869656","display_name":null,"funder_award_id":"W911NF-16-1-0565","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1992665562","https://openalex.org/W2020631728","https://openalex.org/W2045745608","https://openalex.org/W2046974451","https://openalex.org/W2054141820","https://openalex.org/W2101409192","https://openalex.org/W2108920354","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2157519573","https://openalex.org/W2402144811","https://openalex.org/W2605350416","https://openalex.org/W2629213068","https://openalex.org/W2886453691","https://openalex.org/W2892888989","https://openalex.org/W2913754224","https://openalex.org/W2945684222","https://openalex.org/W2997701788","https://openalex.org/W2998534896","https://openalex.org/W3034348890","https://openalex.org/W3103310105"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2382566571","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2085384747","https://openalex.org/W1593213979","https://openalex.org/W3192310860","https://openalex.org/W2964074785"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,10,100,116],"how":[4,47,80],"to":[5,22,61,73,81,91],"generate":[6],"unbiased":[7,25,29,38],"recommendations":[8],"based":[9],"biased":[11],"implicit":[12],"user-item":[13,26],"interactions.":[14],"We":[15,44],"propose":[16,60],"a":[17,36,48],"combinational":[18],"joint":[19,50],"learning":[20,51],"framework":[21],"simultaneously":[23],"learn":[24],"relevance":[27,94],"and":[28,95],"propensity.":[30,43],"More":[31],"specifically,":[32],"we":[33,59,78],"first":[34],"present":[35],"new":[37],"objective":[39],"function":[40],"for":[41],"estimating":[42],"then":[45],"show":[46,79],"na\u00efve":[49],"approach":[52],"faces":[53],"an":[54,112],"estimation-training":[55],"overlap":[56],"problem.":[57,76],"Hence,":[58],"jointly":[62],"train":[63],"multiple":[64],"sub-models":[65],"from":[66],"different":[67],"parts":[68],"of":[69,107,114],"the":[70,87,93,105,108,119],"training":[71,89],"dataset":[72],"avoid":[74],"this":[75],"Finally,":[77],"incorporate":[82],"residual":[83],"components":[84],"trained":[85],"by":[86],"complete":[88],"data":[90],"complement":[92],"propensity":[96],"sub-models.":[97],"Extensive":[98],"experiments":[99],"two":[101],"public":[102],"datasets":[103],"demonstrate":[104],"effectiveness":[106],"proposed":[109],"model":[110],"with":[111],"improvement":[113],"4%":[115],"average":[117],"over":[118],"best":[120],"alternatives.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}