{"id":"https://openalex.org/W4404035349","doi":"https://doi.org/10.1109/tkde.2024.3490593","title":"Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems","display_name":"Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems","publication_year":2024,"publication_date":"2024-11-04","ids":{"openalex":"https://openalex.org/W4404035349","doi":"https://doi.org/10.1109/tkde.2024.3490593"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3490593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3490593","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/A5056077366","display_name":"Yuanbo Xu","orcid":"https://orcid.org/0000-0001-8370-5011"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbo Xu","raw_affiliation_strings":["Department of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-8370-5011","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041921496","display_name":"Fuzhen Zhuang","orcid":"https://orcid.org/0000-0001-9170-7009"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9170-7009","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033953325","display_name":"En Wang","orcid":"https://orcid.org/0000-0001-6112-2923"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-6112-2923","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037831162","display_name":"Chaozhuo Li","orcid":"https://orcid.org/0000-0002-9867-1712"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaozhuo Li","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9867-1712","affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600528","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0002-3472-1717"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["Department of Computer and Information Science, Temple University, Philadephia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3472-1717","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Temple University, Philadephia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.8625,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.98731297,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"37","issue":"2","first_page":"754","last_page":"765"},"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":0.9976999759674072,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9944999814033508,"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/recommender-system","display_name":"Recommender system","score":0.8429666757583618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8255560994148254},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5180668830871582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44506901502609253},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.44430339336395264},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4233807325363159},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3485422730445862}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8429666757583618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8255560994148254},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5180668830871582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44506901502609253},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.44430339336395264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4233807325363159},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3485422730445862}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3490593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3490593","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":[],"awards":[{"id":"https://openalex.org/G245388120","display_name":null,"funder_award_id":"62176014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4153839528","display_name":"\u89c6\u89c9\u7fa4\u667a\u611f\u77e5\u4e2d\u79fb\u52a8\u7ec8\u7aef\u611f\u77e5\u6210\u672c\u4f18\u5316\u7684\u7814\u7a76","funder_award_id":"61972450","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G524871825","display_name":null,"funder_award_id":"61976102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7138386155","display_name":null,"funder_award_id":"U19A2065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8281428716","display_name":null,"funder_award_id":"62472196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8826772083","display_name":"\u79fb\u52a8\u7fa4\u667a\u611f\u77e5\u4e2d\u57fa\u4e8e\u535a\u5f08\u5747\u8861\u7684\u6fc0\u52b1\u673a\u5236\u7814\u7a76","funder_award_id":"61772230","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":34,"referenced_works":["https://openalex.org/W1886704267","https://openalex.org/W1992665562","https://openalex.org/W1994389483","https://openalex.org/W2020631728","https://openalex.org/W2157519573","https://openalex.org/W2480680997","https://openalex.org/W2947685347","https://openalex.org/W3028722847","https://openalex.org/W3091993229","https://openalex.org/W3092103025","https://openalex.org/W3105035347","https://openalex.org/W3114569718","https://openalex.org/W3153906321","https://openalex.org/W3156939347","https://openalex.org/W3164238513","https://openalex.org/W3164548985","https://openalex.org/W3168738558","https://openalex.org/W3176728897","https://openalex.org/W4287282442","https://openalex.org/W4382365503","https://openalex.org/W4386902738","https://openalex.org/W6695055480","https://openalex.org/W6751145664","https://openalex.org/W6762404982","https://openalex.org/W6763591874","https://openalex.org/W6766993282","https://openalex.org/W6767012241","https://openalex.org/W6779894915","https://openalex.org/W6782349269","https://openalex.org/W6791088304","https://openalex.org/W6791628100","https://openalex.org/W6803861488","https://openalex.org/W6853984691","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4391584540","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559"],"abstract_inverted_index":{"In":[0,173],"recommender":[1],"systems,":[2],"it":[3],"is":[4,23,84],"frequently":[5],"presumed":[6],"that":[7,246],"missing":[8,13,53],"ratings":[9,22,128],"adhere":[10],"to":[11,33,42,70,125,180,237],"a":[12,52,181,214,223],"at":[14,55],"random":[15,56],"(MAR)":[16],"mechanism,":[17],"implying":[18],"the":[19,72,135,144,149,162,195,242,264],"absence":[20],"of":[21,25,74,226],"independent":[24],"their":[26,108],"potential":[27],"values.":[28],"However,":[29],"this":[30,61,174,178],"assumption":[31],"fails":[32],"hold":[34],"in":[35,112,268],"real-world":[36,113],"scenarios,":[37],"where":[38],"users":[39],"are":[40],"inclined":[41],"rate":[43],"items":[44],"they":[45],"either":[46],"strongly":[47],"favor":[48],"or":[49,104],"disfavor,":[50],"introducing":[51],"not":[54,90,235],"(MNAR)":[57],"scenario.":[58],"To":[59,206],"tackle":[60],"issue,":[62],"prior":[63,131,164,196],"researchers":[64],"have":[65,98],"utilized":[66],"explicit":[67,81],"MAR":[68,82,116,130,138,168,200,257],"feedbacks":[69,83,117,141,201],"infer":[71],"propensities":[73,132,197],"unobserved,":[75],"implicit":[76],"MNAR":[77,127,140,170,184,190,203,239,253,266,270],"feedbacks.":[78,240,271],"Nonetheless,":[79],"acquiring":[80],"resource-intensive":[85],"and":[86,88,110,139,142,152,169,210,259],"time-consuming":[87],"may":[89],"reflect":[91],"users\u2019":[92],"true":[93],"preferences.":[94],"Furthermore,":[95],"most":[96],"methods":[97,267],"only":[99],"been":[100],"tested":[101],"on":[102],"synthetic":[103],"small-scale":[105],"datasets,":[106],"thus":[107],"applicability":[109],"effectiveness":[111],"settings":[114],"without":[115,129,256],"remain":[118],"unclear.":[119],"Along":[120],"these":[121],"lines,":[122],"we":[123,155,176,212],"aim":[124],"predict":[126],"by":[133],"exploring":[134],"consistency":[136],"between":[137,146],"narrowing":[143],"gap":[145],"them.":[147],"From":[148],"empirical":[150],"study":[151],"preliminary":[153],"experiment,":[154],"hypothesize":[156],"thatuser":[157],"preferencescan":[158],"be":[159],"treated":[160],"as":[161,222],"common":[163],"propensity":[165],"for":[166,194,202],"both":[167],"generative":[171],"processes.":[172],"way,":[175],"extend":[177],"hypothesis":[179,209],"more":[182],"general":[183],"scenario:":[185],"user":[186,230,248],"preferences":[187,231,249],"learned":[188],"from":[189,199,233],"can":[191,250],"partially":[192],"substitute":[193],"derived":[198],"recommendation":[204],"tasks.":[205],"validate":[207],"our":[208,227,260],"approach,":[211],"develop":[213],"lightweight":[215],"iterative":[216],"probabilistic":[217],"matrix":[218],"factorization":[219],"framework":[220],"(lightIPMF)":[221],"practical":[224],"method":[225],"methodology,":[228],"utilizing":[229],"extracted":[232],"MNAR,":[234],"MAR,":[236],"estimate":[238],"Finally,":[241],"experimental":[243],"results":[244],"show":[245],"modeling":[247],"effectively":[251],"improve":[252],"feedback":[254],"estimation":[255],"feedback,":[258],"proposed":[261],"lightIPMF":[262],"outperforms":[263],"state-of-the-art":[265],"predicting":[269]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":20}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
