{"id":"https://openalex.org/W4290874879","doi":"https://doi.org/10.1145/3534678.3539430","title":"Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers","display_name":"Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290874879","doi":"https://doi.org/10.1145/3534678.3539430"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3539430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539430","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2301.09210","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050164663","display_name":"Khalil Damak","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Khalil Damak","raw_affiliation_strings":["University of Louisville, Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075136071","display_name":"Sami Khenissi","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sami Khenissi","raw_affiliation_strings":["University of Louisville, Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049581991","display_name":"Olfa Nasraoui","orcid":"https://orcid.org/0000-0003-0999-5385"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olfa Nasraoui","raw_affiliation_strings":["University of Louisville, Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050164663"],"corresponding_institution_ids":["https://openalex.org/I142740786"],"apc_list":null,"apc_paid":null,"fwci":1.4594,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84734134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"273","last_page":"282"},"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":0.9950000047683716,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9947999715805054,"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/debiasing","display_name":"Debiasing","score":0.9224063754081726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7599666118621826},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5862089395523071},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5774483680725098},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46957844495773315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45276063680648804},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.41032078862190247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36586815118789673},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11266550421714783}],"concepts":[{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.9224063754081726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599666118621826},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5862089395523071},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5774483680725098},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46957844495773315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45276063680648804},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.41032078862190247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36586815118789673},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11266550421714783},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3534678.3539430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539430","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2301.09210","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.09210","pdf_url":"https://arxiv.org/pdf/2301.09210","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2301.09210","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.09210","pdf_url":"https://arxiv.org/pdf/2301.09210","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G267907848","display_name":null,"funder_award_id":"15499","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5705655828","display_name":null,"funder_award_id":"1549981","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6606100519","display_name":"MRI: Acquisition of a High Performance Big Data Analysis Platform","funder_award_id":"1828521","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8209788694","display_name":"FW-HTF-RM: Enhancing Future Work of Nursing Professionals through Collaborative Human-Robot Interfaces","funder_award_id":"2026584","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8490199615","display_name":null,"funder_award_id":"IIS-1549981, DRL-2026584, CNS-1828521","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8833626865","display_name":null,"funder_award_id":"DRL-2026584","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4290874879.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1547531277","https://openalex.org/W1598796236","https://openalex.org/W1886704267","https://openalex.org/W1928278792","https://openalex.org/W1992380306","https://openalex.org/W2023603028","https://openalex.org/W2027731328","https://openalex.org/W2064675550","https://openalex.org/W2077927809","https://openalex.org/W2101409192","https://openalex.org/W2112430581","https://openalex.org/W2124187902","https://openalex.org/W2144807535","https://openalex.org/W2157331557","https://openalex.org/W2176263492","https://openalex.org/W2187424591","https://openalex.org/W2219888463","https://openalex.org/W2270070752","https://openalex.org/W2340502990","https://openalex.org/W2624617553","https://openalex.org/W2626454364","https://openalex.org/W2783272285","https://openalex.org/W2892888989","https://openalex.org/W2896457183","https://openalex.org/W2912967843","https://openalex.org/W2937556626","https://openalex.org/W2945357717","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W2998534896","https://openalex.org/W2998673651","https://openalex.org/W3011809564","https://openalex.org/W3026347803","https://openalex.org/W3035539704","https://openalex.org/W3049332778","https://openalex.org/W3100917752","https://openalex.org/W3102619277","https://openalex.org/W3106445281","https://openalex.org/W3119551859","https://openalex.org/W3185693672","https://openalex.org/W3187508330","https://openalex.org/W3200608657","https://openalex.org/W4293876646","https://openalex.org/W4299286960","https://openalex.org/W4310228395","https://openalex.org/W4385245566","https://openalex.org/W6600213211"],"related_works":["https://openalex.org/W4362554880","https://openalex.org/W4281684980","https://openalex.org/W4386875279","https://openalex.org/W2171721708","https://openalex.org/W4390963114","https://openalex.org/W4287887864","https://openalex.org/W3214527415","https://openalex.org/W1495104519","https://openalex.org/W4225584739","https://openalex.org/W4377864593"],"abstract_inverted_index":{"Bidirectional":[0],"Transformer":[1],"architectures":[2],"are":[3,58],"state-of-the-art":[4],"sequential":[5,115,145],"recommendation":[6,72,116],"models":[7],"that":[8,37,109],"use":[9],"a":[10,98,132],"bi-directional":[11],"representation":[12],"capacity":[13],"based":[14],"on":[15],"the":[16,32,38,43,83,87,123,127,141,151,162],"Cloze":[17,142],"task,":[18],"a.k.a.":[19],"Masked":[20],"Language":[21],"Modeling.":[22],"The":[23,63],"latter":[24],"aims":[25],"to":[26,60,67,92,114,120,161],"predict":[27],"randomly":[28],"masked":[29],"items":[30,53],"within":[31],"sequence.":[33],"Because":[34],"they":[35],"assume":[36],"true":[39],"interacted":[40,84],"item":[41],"is":[42],"most":[44,64],"relevant":[45],"one,":[46],"an":[47],"exposure":[48,56,69,165],"bias":[49,70],"results,":[50],"where":[51],"non-interacted":[52],"with":[54],"low":[55],"propensities":[57,94],"assumed":[59],"be":[61],"irrelevant.":[62],"common":[65],"approach":[66,157],"mitigating":[68],"in":[71,86,90,144],"has":[73],"been":[74],"Inverse":[75],"Propensity":[76],"Scoring":[77],"(IPS),":[78],"which":[79,137],"consists":[80],"of":[81,95,126,154,164],"down-weighting":[82],"predictions":[85],"loss":[88],"function":[89],"proportion":[91],"their":[93],"exposure,":[96],"yielding":[97],"theoretically":[99,139],"unbiased":[100],"learning.":[101],"In":[102],"this":[103],"work,":[104],"we":[105,148],"argue":[106],"and":[107,158],"prove":[108],"IPS":[110],"does":[111],"not":[112],"extend":[113],"because":[117],"it":[118],"fails":[119],"account":[121],"for":[122],"temporal":[124],"nature":[125],"problem.":[128],"We":[129],"then":[130],"propose":[131],"novel":[133],"propensity":[134],"scoring":[135],"mechanism,":[136],"can":[138],"debias":[140],"task":[143],"recommendation.":[146],"Finally":[147],"empirically":[149],"demonstrate":[150],"debiasing":[152],"capabilities":[153],"our":[155],"proposed":[156],"its":[159],"robustness":[160],"severity":[163],"bias.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}