{"id":"https://openalex.org/W4321637150","doi":"https://doi.org/10.1109/sisy56759.2022.10036280","title":"Towards Better Service Personalization: Reinforcement Learning with Guarantee of User Preference","display_name":"Towards Better Service Personalization: Reinforcement Learning with Guarantee of User Preference","publication_year":2022,"publication_date":"2022-09-15","ids":{"openalex":"https://openalex.org/W4321637150","doi":"https://doi.org/10.1109/sisy56759.2022.10036280"},"language":"en","primary_location":{"id":"doi:10.1109/sisy56759.2022.10036280","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sisy56759.2022.10036280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY)","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/A5109642279","display_name":"Zhenyu Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhenyu Mao","raw_affiliation_strings":["Waseda Univeristy,Tokyo,Japan","Waseda Univeristy, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda Univeristy,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Waseda Univeristy, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708117","display_name":"Jialong Li","orcid":"https://orcid.org/0000-0003-3416-5551"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jialong Li","raw_affiliation_strings":["Waseda Univeristy,Tokyo,Japan","Waseda Univeristy, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda Univeristy,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Waseda Univeristy, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045332896","display_name":"Kenji Tei","orcid":"https://orcid.org/0000-0003-1106-1709"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Tei","raw_affiliation_strings":["Waseda Univeristy,Tokyo,Japan","Waseda Univeristy, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda Univeristy,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Waseda Univeristy, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"000391","last_page":"000396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12546","display_name":"Smart Parking Systems Research","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8654637932777405},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.8249410390853882},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7812398672103882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.759522557258606},{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.5418094396591187},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5058133602142334},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4713306427001953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4634212553501129},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.42509567737579346},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.419961541891098},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3532407879829407},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15971672534942627},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13817933201789856}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8654637932777405},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8249410390853882},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7812398672103882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759522557258606},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.5418094396591187},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5058133602142334},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4713306427001953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4634212553501129},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.42509567737579346},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.419961541891098},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3532407879829407},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15971672534942627},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13817933201789856},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sisy56759.2022.10036280","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sisy56759.2022.10036280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY)","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50686562","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100908797","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320212","display_name":"Japan Society for the Promotion of Science London","ror":"https://ror.org/02m7axw05"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1837766154","https://openalex.org/W1845972764","https://openalex.org/W1987725948","https://openalex.org/W1993026423","https://openalex.org/W2016304648","https://openalex.org/W2071133755","https://openalex.org/W2089954205","https://openalex.org/W2136386226","https://openalex.org/W2302703641","https://openalex.org/W2895373901","https://openalex.org/W2963575966","https://openalex.org/W2963620705","https://openalex.org/W3006334608","https://openalex.org/W3019040030","https://openalex.org/W3091691175","https://openalex.org/W3131320826","https://openalex.org/W3157422731","https://openalex.org/W4214717370","https://openalex.org/W6639175102","https://openalex.org/W6674884181","https://openalex.org/W6748210908"],"related_works":["https://openalex.org/W2937325523","https://openalex.org/W4205377104","https://openalex.org/W257970033","https://openalex.org/W1994181006","https://openalex.org/W2911102221","https://openalex.org/W4285602503","https://openalex.org/W4281387587","https://openalex.org/W2943672508","https://openalex.org/W4383737174","https://openalex.org/W4320918405"],"abstract_inverted_index":{"There":[0],"is":[1,24,33,93],"a":[2,79,83],"growing":[3],"demand":[4],"for":[5,18,44,87],"personalized":[6,29],"services":[7,30],"in":[8],"today's":[9],"diverse":[10],"society,":[11],"requiring":[12],"software":[13],"to":[14,27,35,73,90,110],"handle":[15,36],"unique":[16],"preferences":[17,38,56,62],"each":[19],"user.":[20],"Reinforcement":[21,70],"learning":[22,64,130],"(RL)":[23],"fre-quently":[25],"used":[26],"offer":[28],"because":[31],"it":[32],"able":[34],"complicated":[37],"without":[39],"the":[40,88,96,103],"high":[41],"design":[42],"cost":[43],"their":[45],"numerous":[46],"combinations.":[47],"The":[48],"most":[49],"representative":[50],"weight":[51],"sum":[52],"method":[53],"handles":[54],"soft":[55],"well":[57],"but":[58],"cannot":[59],"guarantee":[60,111],"hard":[61,112,134],"and":[63,106,123],"speed.":[65],"This":[66],"paper":[67],"proposes":[68],"Preference-Guaranteed":[69],"Learning":[71],"(PGRL)":[72],"solve":[74],"this":[75],"problem.":[76],"In":[77],"PGRL,":[78],"preference-guarantor":[80],"that":[81,127],"provides":[82],"preference-guaranteed":[84],"action":[85],"list":[86],"agent":[89],"choose":[91],"from":[92],"introduced":[94],"into":[95,101],"original":[97],"RL.":[98],"It":[99],"takes":[100],"account":[102],"previous":[104],"performance":[105,109],"predicts":[107],"future":[108],"preferences.":[113,135],"A":[114],"preliminary":[115],"evaluation":[116],"through":[117],"two":[118],"experiments":[119],"(i.e.,":[120],"trip":[121],"planning":[122],"automated":[124],"braking)":[125],"indicates":[126],"PGRL":[128],"increases":[129],"speed":[131],"while":[132],"guaranteeing":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
