{"id":"https://openalex.org/W2893370267","doi":"https://doi.org/10.1145/3240323.3240354","title":"Explore, exploit, and explain","display_name":"Explore, exploit, and explain","publication_year":2018,"publication_date":"2018-09-27","ids":{"openalex":"https://openalex.org/W2893370267","doi":"https://doi.org/10.1145/3240323.3240354","mag":"2893370267"},"language":"en","primary_location":{"id":"doi:10.1145/3240323.3240354","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240323.3240354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th 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/A5037761875","display_name":"James O. McInerney","orcid":"https://orcid.org/0000-0003-1885-2503"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James McInerney","raw_affiliation_strings":["Spotify"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spotify","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112389142","display_name":"Benjamin Lacker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benjamin Lacker","raw_affiliation_strings":["Spotify"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spotify","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065241086","display_name":"Samantha Hansen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samantha Hansen","raw_affiliation_strings":["Spotify"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spotify","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062621630","display_name":"Karl Higley","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karl Higley","raw_affiliation_strings":["Spotify"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spotify","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066223470","display_name":"Hugues Bouchard","orcid":"https://orcid.org/0000-0003-2315-8268"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hugues Bouchard","raw_affiliation_strings":["Spotify"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spotify","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073739285","display_name":"Alois Gruson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alois Gruson","raw_affiliation_strings":["Spotify"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spotify","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018503243","display_name":"Rishabh Mehrotra","orcid":"https://orcid.org/0000-0002-0836-4605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rishabh Mehrotra","raw_affiliation_strings":["Spotify"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spotify","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":149,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"39"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9991000294685364,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.996399998664856,"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/exploit","display_name":"Exploit","score":0.8744641542434692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7988137602806091},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7330136299133301},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6168442964553833},{"id":"https://openalex.org/keywords/user-engagement","display_name":"User engagement","score":0.5349487066268921},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5093896985054016},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.43748974800109863},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.43021631240844727},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41180509328842163},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3899689018726349},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3317509591579437},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09586408734321594},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06393977999687195}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8744641542434692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7988137602806091},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7330136299133301},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6168442964553833},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.5349487066268921},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5093896985054016},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.43748974800109863},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.43021631240844727},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41180509328842163},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3899689018726349},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3317509591579437},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09586408734321594},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06393977999687195},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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":1,"locations":[{"id":"doi:10.1145/3240323.3240354","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240323.3240354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1975767384","https://openalex.org/W2023403131","https://openalex.org/W2023599408","https://openalex.org/W2054141820","https://openalex.org/W2058990114","https://openalex.org/W2071133755","https://openalex.org/W2101409192","https://openalex.org/W2112420033","https://openalex.org/W2126159342","https://openalex.org/W2167893057","https://openalex.org/W2295739661","https://openalex.org/W2312609093","https://openalex.org/W2463677609","https://openalex.org/W2512971201","https://openalex.org/W2626914210","https://openalex.org/W2747911319","https://openalex.org/W2784068709","https://openalex.org/W2962694783","https://openalex.org/W3099420497","https://openalex.org/W4293585414","https://openalex.org/W6630221451"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W3172701938"],"abstract_inverted_index":{"The":[0,52],"multi-armed":[1],"bandit":[2],"is":[3,79,113],"an":[4],"important":[5],"framework":[6],"for":[7,45,132],"balancing":[8],"exploration":[9,55,138],"with":[10,22,40,65,139,143,146,152],"exploitation":[11,140],"in":[12,59,63,105,156,166],"recommendation.":[13],"Exploitation":[14],"recommends":[15,38],"content":[16,39,129],"(e.g.,":[17],"products,":[18],"movies,":[19],"music":[20,159],"playlists)":[21],"the":[23,32,46,99,127],"highest":[24],"predicted":[25,42],"user":[26,43,122,167],"engagement":[27,44],"and":[28,72,94,135,150],"has":[29,56,90],"traditionally":[30],"been":[31,57],"focus":[33],"of":[34,48,54],"recommender":[35],"systems.":[36],"Exploration":[37],"uncertain":[41],"purpose":[47],"gathering":[49],"more":[50],"information.":[51],"importance":[53],"recognized":[58],"recent":[60],"years,":[61],"particularly":[62],"settings":[64],"new":[66,68],"users,":[67],"items,":[69],"non-stationary":[70],"preferences":[71],"attributes.":[73],"In":[74,109],"parallel,":[75],"explaining":[76],"recommendations":[77],"(\"recsplanations\")":[78],"crucial":[80],"if":[81],"users":[82],"are":[83],"to":[84,115,130,141],"understand":[85],"their":[86],"recommendations.":[87],"Existing":[88],"work":[89],"looked":[91],"at":[92],"bandits":[93],"explanations":[95,120],"independently.":[96],"We":[97],"provide":[98],"first":[100],"method":[101,112],"that":[102],"combines":[103],"both":[104],"a":[106,157,163],"principled":[107],"manner.":[108],"particular,":[110],"our":[111],"able":[114],"jointly":[116],"(1)":[117],"learn":[118,126],"which":[119],"each":[121,133],"responds":[123],"to;":[124],"(2)":[125],"best":[128],"recommend":[131],"user;":[134],"(3)":[136],"balance":[137],"deal":[142],"uncertainty.":[144],"Experiments":[145],"historical":[147],"log":[148],"data":[149],"tests":[151],"live":[153],"production":[154],"traffic":[155],"large-scale":[158],"recommendation":[160],"service":[161],"show":[162],"significant":[164],"improvement":[165],"engagement.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
