{"id":"https://openalex.org/W2045450443","doi":"https://doi.org/10.1145/2645710.2645753","title":"Context adaptation in interactive recommender systems","display_name":"Context adaptation in interactive recommender systems","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2045450443","doi":"https://doi.org/10.1145/2645710.2645753","mag":"2045450443"},"language":"en","primary_location":{"id":"doi:10.1145/2645710.2645753","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2645710.2645753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM Conference on Recommender systems","raw_type":"proceedings-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/A5082514679","display_name":"Negar Hariri","orcid":"https://orcid.org/0000-0002-5379-2705"},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Negar Hariri","raw_affiliation_strings":["DePaul University, Chicago, IL, USA","DePaul University , Chicago , IL , USA"],"affiliations":[{"raw_affiliation_string":"DePaul University, Chicago, IL, USA","institution_ids":["https://openalex.org/I118353179"]},{"raw_affiliation_string":"DePaul University , Chicago , IL , USA","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082580430","display_name":"Bamshad Mobasher","orcid":"https://orcid.org/0000-0001-9701-9178"},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bamshad Mobasher","raw_affiliation_strings":["DePaul University, Chicago, IL, USA","DePaul University , Chicago , IL , USA"],"affiliations":[{"raw_affiliation_string":"DePaul University, Chicago, IL, USA","institution_ids":["https://openalex.org/I118353179"]},{"raw_affiliation_string":"DePaul University , Chicago , IL , USA","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043134791","display_name":"Robin Burke","orcid":"https://orcid.org/0000-0001-5766-6434"},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robin Burke","raw_affiliation_strings":["DePaul University, Chicago, IL, USA","DePaul University , Chicago , IL , USA"],"affiliations":[{"raw_affiliation_string":"DePaul University, Chicago, IL, USA","institution_ids":["https://openalex.org/I118353179"]},{"raw_affiliation_string":"DePaul University , Chicago , IL , USA","institution_ids":["https://openalex.org/I118353179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082514679"],"corresponding_institution_ids":["https://openalex.org/I118353179"],"apc_list":null,"apc_paid":null,"fwci":7.9871,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.9736528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"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":1.0,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9868000149726868,"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":0.8959223031997681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8603918552398682},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.8120296001434326},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.6843439340591431},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6433916687965393},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6266975402832031},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5732921361923218},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5501301884651184},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4918944835662842},{"id":"https://openalex.org/keywords/thompson-sampling","display_name":"Thompson sampling","score":0.47402316331863403},{"id":"https://openalex.org/keywords/computer-user-satisfaction","display_name":"Computer user satisfaction","score":0.4158076047897339},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.33844345808029175},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.3264421224594116},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.30621373653411865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27151626348495483},{"id":"https://openalex.org/keywords/user-interface-design","display_name":"User interface design","score":0.2166762351989746},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.10128811001777649}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8959223031997681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8603918552398682},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8120296001434326},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.6843439340591431},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6433916687965393},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6266975402832031},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5732921361923218},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5501301884651184},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4918944835662842},{"id":"https://openalex.org/C73602740","wikidata":"https://www.wikidata.org/wiki/Q7795822","display_name":"Thompson sampling","level":3,"score":0.47402316331863403},{"id":"https://openalex.org/C63880386","wikidata":"https://www.wikidata.org/wiki/Q5157592","display_name":"Computer user satisfaction","level":4,"score":0.4158076047897339},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.33844345808029175},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.3264421224594116},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30621373653411865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27151626348495483},{"id":"https://openalex.org/C149229913","wikidata":"https://www.wikidata.org/wiki/Q135707","display_name":"User interface design","level":3,"score":0.2166762351989746},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.10128811001777649},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2645710.2645753","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2645710.2645753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th 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":15,"referenced_works":["https://openalex.org/W72950014","https://openalex.org/W116854235","https://openalex.org/W1503398984","https://openalex.org/W1560147776","https://openalex.org/W1690919088","https://openalex.org/W1978609982","https://openalex.org/W1996552124","https://openalex.org/W2049090231","https://openalex.org/W2061753713","https://openalex.org/W2080957047","https://openalex.org/W2108738385","https://openalex.org/W2112420033","https://openalex.org/W2158125716","https://openalex.org/W2166253248","https://openalex.org/W6676077707"],"related_works":["https://openalex.org/W2505756943","https://openalex.org/W2471180092","https://openalex.org/W3048212026","https://openalex.org/W2214462757","https://openalex.org/W4316810125","https://openalex.org/W1513194152","https://openalex.org/W2373382863","https://openalex.org/W2332737623","https://openalex.org/W2786397983","https://openalex.org/W4360925797"],"abstract_inverted_index":{"Contextual":[0],"factors":[1,33],"can":[2,66,184],"greatly":[3],"influence":[4],"the":[5,48,54,76,89,113,116,120,129,132,136,146,160,176,189,192],"utility":[6],"of":[7,50,157,191],"recommendations":[8,86,137],"for":[9,112,135,152,171],"users.":[10],"In":[11,56],"many":[12],"recommendation":[13],"and":[14,30,68,103,162,179],"personalization":[15],"applications,":[16],"particularly":[17],"in":[18,72,175],"domains":[19],"where":[20],"user":[21,45,121,161],"context":[22,73],"changes":[23,71,153,174],"dynamically,":[24],"it":[25,36,183],"is":[26,37,123,150,163],"difficult":[27],"to":[28,40,70,87,108,187],"represent":[29],"model":[31,111,122,149],"contextual":[32,144],"directly,":[34],"but":[35],"often":[38],"possible":[39],"observe":[41],"their":[42],"impact":[43],"on":[44,75],"preferences":[46,178],"during":[47,139],"course":[49],"users'":[51],"interactions":[52],"with":[53,159],"system.":[55,194],"this":[57,96],"paper,":[58],"we":[59],"introduce":[60,168],"an":[61],"interactive":[62],"recommender":[63,193],"system":[64,130],"that":[65,140],"detect":[67],"adapt":[69],"based":[74],"user's":[77,90,147,177],"ongoing":[78],"behavior.":[79],"The":[80],"system,":[81],"then,":[82],"dynamically":[83],"tailors":[84],"its":[85],"match":[88],"most":[91],"recent":[92],"preferences.":[93],"We":[94,166],"formulate":[95],"problem":[97,102],"as":[98,128],"a":[99,110,169],"multi-armed":[100],"bandit":[101],"use":[104],"Thompson":[105,117],"sampling":[106,118],"heuristic":[107],"learn":[109],"user.":[114],"Following":[115],"approach,":[119],"updated":[124,164],"after":[125],"each":[126,155],"interaction":[127,158],"observes":[131],"corresponding":[133],"rewards":[134],"provided":[138],"interaction.":[141],"To":[142],"generate":[143],"recommendations,":[145],"preference":[148],"monitored":[151],"at":[154],"step":[156],"incrementally.":[165],"will":[167,180],"mechanism":[170],"detecting":[172],"significant":[173],"describe":[181],"how":[182],"be":[185],"used":[186],"improve":[188],"performance":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}