{"id":"https://openalex.org/W4381192695","doi":"https://doi.org/10.1145/3565472.3592955","title":"A Bandit You Can Trust","display_name":"A Bandit You Can Trust","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4381192695","doi":"https://doi.org/10.1145/3565472.3592955"},"language":"en","primary_location":{"id":"doi:10.1145/3565472.3592955","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565472.3592955","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565472.3592955","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3565472.3592955","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047556915","display_name":"Ethan Prihar","orcid":"https://orcid.org/0000-0002-5216-9815"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ethan Prihar","raw_affiliation_strings":["Worcester Polytechnic Institute, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076445116","display_name":"Adam Sales","orcid":"https://orcid.org/0000-0003-0416-0610"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Sales","raw_affiliation_strings":["Worcester Polytechnic Institute, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078998782","display_name":"Neil T. Heffernan","orcid":"https://orcid.org/0000-0002-3280-288X"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Heffernan","raw_affiliation_strings":["Worcester Polytechnic Institute, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047556915"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":0.7487,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73832279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.994700014591217,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9797999858856201,"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":0.7767252922058105},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7096235752105713},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.6408531665802002},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5537746548652649},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.49580082297325134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4301655888557434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34255266189575195},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3400908410549164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24487066268920898},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11878648400306702},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11196920275688171},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1008254885673523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767252922058105},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7096235752105713},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.6408531665802002},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5537746548652649},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.49580082297325134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4301655888557434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34255266189575195},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3400908410549164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24487066268920898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11878648400306702},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11196920275688171},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1008254885673523}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3565472.3592955","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565472.3592955","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565472.3592955","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3565472.3592955","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565472.3592955","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565472.3592955","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1062574218","display_name":"REU Site: Leveraging The Learning Sciences & Technologies to Enhance Education and Learning in Secondary Schools","funder_award_id":"1950683","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1183413665","display_name":null,"funder_award_id":"1940236","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2239023174","display_name":"Collaborative Research: Common Error Diagnostics and Support in Short-answer Math Questions","funder_award_id":"2118904","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G240046155","display_name":null,"funder_award_id":"1822830","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2637195115","display_name":null,"funder_award_id":"4-18-1-","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2657468873","display_name":null,"funder_award_id":"1917713","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2698097454","display_name":null,"funder_award_id":"15030","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3470392105","display_name":null,"funder_award_id":"1724889","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3842111572","display_name":"Collaborative Research: Common Error Diagnostics and Support in Short-answer Math Questions","funder_award_id":"2118725","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G440167496","display_name":null,"funder_award_id":"1535428","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4772289274","display_name":null,"funder_award_id":"1759229","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5023194926","display_name":null,"funder_award_id":"1917808","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7786263690","display_name":null,"funder_award_id":"50306","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G842482667","display_name":null,"funder_award_id":"GAANN","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8459806742","display_name":null,"funder_award_id":"1903304","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381192695.pdf","grobid_xml":"https://content.openalex.org/works/W4381192695.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1995864528","https://openalex.org/W1998498767","https://openalex.org/W2009551863","https://openalex.org/W2039522160","https://openalex.org/W2107769036","https://openalex.org/W2110065044","https://openalex.org/W2112420033","https://openalex.org/W2142971854","https://openalex.org/W2955290767","https://openalex.org/W2963007936","https://openalex.org/W3043931538","https://openalex.org/W3046375251","https://openalex.org/W3083184774","https://openalex.org/W3092650001","https://openalex.org/W3170912132","https://openalex.org/W4214717370","https://openalex.org/W4281736059","https://openalex.org/W4322801648"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2109940557"],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"Dynamic":[3,60,79,121],"Linear":[4,61,80,122],"Epsilon-Greedy,":[5],"a":[6,127],"novel":[7],"contextual":[8],"multi-armed":[9],"bandit":[10],"algorithm":[11,43],"that":[12],"can":[13],"adaptively":[14],"assign":[15],"personalized":[16],"content":[17,53],"to":[18,45,51,84,95,129],"users":[19],"while":[20,55],"enabling":[21],"unbiased":[22,133],"statistical":[23,134],"analysis.":[24,135],"Traditional":[25],"A/B":[26,96],"testing":[27],"and":[28,37,67,87,113,143],"reinforcement":[29],"learning":[30,75,93],"approaches":[31],"have":[32],"trade-offs":[33],"between":[34],"empirical":[35,69,144],"investigation":[36],"maximal":[38],"impact":[39],"on":[40],"users.":[41],"Our":[42],"seeks":[44],"balance":[46,130],"these":[47],"objectives,":[48],"allowing":[49],"platforms":[50],"personalize":[52],"effectively":[54],"still":[56],"gathering":[57],"valuable":[58],"data.":[59],"Epsilon-Greedy":[62,81,123],"was":[63],"evaluated":[64],"via":[65],"simulation":[66,142],"an":[68],"study":[70,145],"in":[71,88],"the":[72,105,137,141],"ASSISTments":[73],"online":[74],"platform.":[76],"In":[77],"simulation,":[78],"performed":[82],"comparably":[83],"existing":[85],"algorithms":[86],"ASSISTments,":[89],"slightly":[90],"increased":[91],"students\u2019":[92],"compared":[94],"testing.":[97],"Data":[98],"collected":[99,139],"from":[100,118],"its":[101],"recommendations":[102],"allowed":[103],"for":[104],"identification":[106],"of":[107],"qualitative":[108],"interactions,":[109],"which":[110],"showed":[111],"high":[112],"low":[114],"knowledge":[115],"students":[116],"benefited":[117],"different":[119],"content.":[120],"holds":[124],"promise":[125],"as":[126],"method":[128],"personalization":[131],"with":[132],"All":[136],"data":[138],"during":[140],"are":[146],"publicly":[147],"available":[148],"at":[149],"https://osf.io/zuwf7/.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
