{"id":"https://openalex.org/W3122774111","doi":"https://doi.org/10.1108/imds-12-2019-0722","title":"Reinforcement learning for content's customization: a first step of experimentation in Skyscanner","display_name":"Reinforcement learning for content's customization: a first step of experimentation in Skyscanner","publication_year":2021,"publication_date":"2021-01-15","ids":{"openalex":"https://openalex.org/W3122774111","doi":"https://doi.org/10.1108/imds-12-2019-0722","mag":"3122774111"},"language":"en","primary_location":{"id":"doi:10.1108/imds-12-2019-0722","is_oa":false,"landing_page_url":"https://doi.org/10.1108/imds-12-2019-0722","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management & Data Systems","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/A5056063730","display_name":"Chiara Giachino","orcid":"https://orcid.org/0000-0001-7511-1053"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Giachino","raw_affiliation_strings":["Department of Management, School of Management and Economics, University of Turin, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management, School of Management and Economics, University of Turin, Turin, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062059539","display_name":"Luigi Bollani","orcid":"https://orcid.org/0000-0002-2488-3659"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Bollani","raw_affiliation_strings":["ESOMAS Department, School of Management and Economics, University of Turin, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ESOMAS Department, School of Management and Economics, University of Turin, Turin, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044173458","display_name":"Alessandro Bonadonna","orcid":"https://orcid.org/0000-0003-1866-7359"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Bonadonna","raw_affiliation_strings":["Department of Management, School of Management and Economics, University of Turin, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management, School of Management and Economics, University of Turin, Turin, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014794250","display_name":"Marco Bertetti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Bertetti","raw_affiliation_strings":["Independent Reseacher, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Reseacher, London, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8074,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7684469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"121","issue":"6","first_page":"1417","last_page":"1434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9635000228881836,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8315985798835754},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.7493418455123901},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7317854166030884},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6711997389793396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6463004350662231},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.5125279426574707},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4935680627822876},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.47832441329956055},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4725113809108734},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.39620620012283325},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3754428029060364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3267185389995575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22521737217903137},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21035128831863403},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10565188527107239}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8315985798835754},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.7493418455123901},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7317854166030884},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6711997389793396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6463004350662231},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.5125279426574707},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4935680627822876},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.47832441329956055},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4725113809108734},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.39620620012283325},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3754428029060364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3267185389995575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22521737217903137},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21035128831863403},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10565188527107239},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/imds-12-2019-0722","is_oa":false,"landing_page_url":"https://doi.org/10.1108/imds-12-2019-0722","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management & Data Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W136873151","https://openalex.org/W242632835","https://openalex.org/W1526654727","https://openalex.org/W1590505486","https://openalex.org/W1602618084","https://openalex.org/W1973435495","https://openalex.org/W1978266174","https://openalex.org/W1987963029","https://openalex.org/W1998498767","https://openalex.org/W2001185203","https://openalex.org/W2007828825","https://openalex.org/W2009540290","https://openalex.org/W2023599408","https://openalex.org/W2029130131","https://openalex.org/W2091299820","https://openalex.org/W2101626488","https://openalex.org/W2112420033","https://openalex.org/W2132825413","https://openalex.org/W2149427297","https://openalex.org/W2166827233","https://openalex.org/W2187642949","https://openalex.org/W2294160770","https://openalex.org/W2396959124","https://openalex.org/W2563000706","https://openalex.org/W2616943032","https://openalex.org/W2725896932","https://openalex.org/W2766447205","https://openalex.org/W2794071810","https://openalex.org/W2802539019","https://openalex.org/W2891704263","https://openalex.org/W2895747795","https://openalex.org/W2900088926","https://openalex.org/W2902521978","https://openalex.org/W2913940595","https://openalex.org/W2950224161","https://openalex.org/W2950446185","https://openalex.org/W2953189907","https://openalex.org/W2965453461","https://openalex.org/W2975254245","https://openalex.org/W2980206701","https://openalex.org/W2982565920","https://openalex.org/W2987779221","https://openalex.org/W2991642257","https://openalex.org/W2995284558","https://openalex.org/W3003915040","https://openalex.org/W3082157970","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2593155302","https://openalex.org/W2041415459","https://openalex.org/W3126095231","https://openalex.org/W2072812638","https://openalex.org/W2352855287","https://openalex.org/W2378906650","https://openalex.org/W2384288445","https://openalex.org/W2382526412","https://openalex.org/W4200071106","https://openalex.org/W2347474189"],"abstract_inverted_index":{"Purpose":[0],"The":[1,60,89,119,141,191,227,241],"aim":[2],"of":[3,19,26,62,70,131,170,277,280],"the":[4,11,24,63,68,94,97,109,117,129,132,147,152,159,165,168,171,182,187,198,208,223,244,254,275,278],"paper":[5,242],"is":[6,79,122,215],"to":[7,22,31,66,107,112,123,150,178,197,207,211,218,231,236,260,264,294],"test":[8],"and":[9,46,56,103,126,176,200,220,234,274,283],"demonstrate":[10],"potential":[12,148],"benefits":[13,149,206],"in":[14,128,155,164,253,257,286],"applying":[15],"reinforcement":[16,153,262],"learning":[17,154,263],"instead":[18],"traditional":[20],"methods":[21],"optimize":[23,67],"content":[25,69,213],"a":[27,156,270],"company's":[28,209],"mobile":[29,72],"application":[30,73,130,279],"best":[32,110],"help":[33,221],"travellers":[34],"finding":[35],"their":[36],"ideal":[37],"flights.":[38],"To":[39],"this":[40],"end,":[41],"two":[42,64,98,133],"approaches":[43,65,99,134],"were":[44],"considered":[45],"compared":[47],"via":[48,145],"simulation:":[49],"standard":[50],"randomized":[51],"experiments":[52],"or":[53],"A/B":[54,101,281],"testing":[55,102,282],"multi-armed":[57,104,160,284],"bandits.":[58],"Design/methodology/approach":[59],"simulation":[61,276],"its":[71,179,265],"and,":[74],"consequently,":[75],"increase":[76],"flights":[77],"conversions":[78],"illustrated":[80],"as":[81],"applied":[82],"by":[83,247],"Skyscanner,":[84],"using":[85],"R":[86],"software.":[87],"Findings":[88],"first":[90],"results":[91,115],"are":[92],"about":[93],"comparison":[95],"between":[96],"\u2013":[100,106],"bandits":[105],"identify":[108],"one":[111,121],"achieve":[113,237],"better":[114],"for":[116,136,225],"company.":[118,157],"second":[120],"gain":[124],"experiences":[125],"suggestion":[127,292],"useful":[135,293],"other":[137,295],"industries/companies.":[138],"Research":[139],"limitations/implications":[140],"case":[142,272],"study":[143,228,273],"demonstrated,":[144],"simulation,":[146],"apply":[151],"Finally,":[158],"bandit":[161,285],"was":[162,174],"implemented":[163],"company,":[166],"but":[167,202],"period":[169],"available":[172],"data":[173,235],"limited,":[175],"due":[177],"strategic":[180,266],"relevance,":[181],"company":[183,251],"cannot":[184],"show":[185],"all":[186],"findings.":[188],"Practical":[189],"implications":[190],"right":[192],"algorithm":[193],"can":[194],"change":[195],"according":[196],"situation":[199],"industry":[201],"would":[203],"bring":[204],"great":[205],"ability":[210],"surface":[212],"that":[214],"more":[216],"relevant":[217],"users":[219],"improving":[222],"experience":[224],"travellers.":[226],"shows":[229],"how":[230,259],"manage":[232],"complexity":[233],"good":[238],"results.":[239],"Originality/value":[240],"describes":[243],"approach":[245],"used":[246],"an":[248],"European":[249],"leading":[250],"operating":[252],"travel":[255],"sector":[256],"understanding":[258],"adapt":[261],"goals.":[267],"It":[268],"presents":[269],"real":[271],"Skyscanner;":[287],"moreover,":[288],"it":[289],"highlights":[290],"practical":[291],"companies.":[296]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}