{"id":"https://openalex.org/W4206917480","doi":"https://doi.org/10.1145/3502223.3502225","title":"Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning","display_name":"Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning","publication_year":2021,"publication_date":"2021-12-06","ids":{"openalex":"https://openalex.org/W4206917480","doi":"https://doi.org/10.1145/3502223.3502225"},"language":"en","primary_location":{"id":"doi:10.1145/3502223.3502225","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502223.3502225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Joint Conference on Knowledge Graphs","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/A5101430780","display_name":"Keyu Chen","orcid":"https://orcid.org/0000-0003-0808-2533"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Keyu Chen","raw_affiliation_strings":["East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047846625","display_name":"Shiliang Sun","orcid":"https://orcid.org/0000-0001-7069-3752"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiliang Sun","raw_affiliation_strings":["East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101430780"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":1.4097,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8611914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"10","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9940000176429749,"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/conversation","display_name":"Conversation","score":0.8750787973403931},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8407868146896362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8397376537322998},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7366793155670166},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6258754134178162},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6025968194007874},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5145270228385925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47730553150177},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.46627429127693176},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4068921208381653},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3747062385082245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29615405201911926}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8750787973403931},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8407868146896362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8397376537322998},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7366793155670166},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6258754134178162},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6025968194007874},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5145270228385925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47730553150177},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.46627429127693176},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4068921208381653},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3747062385082245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29615405201911926},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3502223.3502225","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502223.3502225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Joint Conference on Knowledge Graphs","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":32,"referenced_works":["https://openalex.org/W1552847225","https://openalex.org/W1832693441","https://openalex.org/W2042281163","https://openalex.org/W2184957013","https://openalex.org/W2349436533","https://openalex.org/W2524182563","https://openalex.org/W2561529111","https://openalex.org/W2602856279","https://openalex.org/W2605350416","https://openalex.org/W2911495555","https://openalex.org/W2945623882","https://openalex.org/W2950457956","https://openalex.org/W2952607215","https://openalex.org/W2963367478","https://openalex.org/W2964112275","https://openalex.org/W2970236742","https://openalex.org/W2978889344","https://openalex.org/W2980601847","https://openalex.org/W2997662139","https://openalex.org/W3022187094","https://openalex.org/W3034533785","https://openalex.org/W3035098003","https://openalex.org/W3035355914","https://openalex.org/W3038439974","https://openalex.org/W3043024875","https://openalex.org/W3080122044","https://openalex.org/W3099865390","https://openalex.org/W3100790518","https://openalex.org/W3106454043","https://openalex.org/W3113741750","https://openalex.org/W3115944734","https://openalex.org/W3116455257"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W1968552888","https://openalex.org/W2374116601","https://openalex.org/W3093134843","https://openalex.org/W1511346092","https://openalex.org/W1527532029","https://openalex.org/W2378167147","https://openalex.org/W3210777354","https://openalex.org/W2281307425","https://openalex.org/W2768698792"],"abstract_inverted_index":{"The":[0,122],"conversational":[1],"recommender":[2],"system":[3],"(CRS)":[4],"provides":[5],"personalized":[6],"recommendations":[7],"for":[8,63,97],"users":[9],"through":[10],"dialogues.":[11,57],"Knowledge-based":[12],"CRS,":[13,21],"which":[14,71],"applies":[15],"external":[16],"knowledge":[17],"graphs":[18],"into":[19],"the":[20,45,50,73,82,109,118,127,135,147,150,153,157,163],"can":[22],"provide":[23],"knowledge-aware":[24],"recommendations,":[25],"and":[26,52,90,141,156],"has":[27],"proved":[28],"successful":[29],"in":[30,49,117,130,138,152],"many":[31,61],"fields.":[32],"However,":[33],"existing":[34],"models":[35,65],"suffer":[36],"from":[37],"two":[38],"limitations.":[39],"First,":[40],"previous":[41],"knowledge-based":[42,68,98],"CRSs":[43],"ignore":[44],"transfer":[46],"of":[47,149,165],"topics":[48],"conversation":[51,128,158],"cannot":[53],"handle":[54],"multi-task":[55,131],"recommendation":[56,154],"Second,":[58],"it":[59],"takes":[60],"inquiries":[62],"traditional":[64],"to":[66,86,112],"obtain":[67],"user":[69,136],"profiles,":[70],"affect":[72],"user\u2019s":[74],"interactive":[75],"experience.":[76],"In":[77],"this":[78],"work,":[79],"we":[80],"use":[81],"dialogue":[83,115,124,132],"policy":[84,116,125],"learning":[85,120],"tackle":[87],"these":[88],"issues,":[89],"propose":[91],"a":[92,114],"model":[93,151],"called":[94],"CRSDP,":[95],"standing":[96],"Conversational":[99],"Recommender":[100],"Systems":[101],"enhanced":[102],"by":[103],"Dialogue":[104],"Policy":[105],"learning.":[106],"We":[107,145],"leverage":[108],"actor-critic":[110],"framework":[111],"learn":[113],"reinforcement":[119],"paradigm.":[121],"optimized":[123],"leads":[126],"strategically":[129],"scenarios,":[133],"determines":[134],"preference":[137],"fewer":[139],"turns,":[140],"makes":[142],"effective":[143],"recommendations.":[144],"evaluate":[146],"performance":[148],"task":[155],"task.":[159],"Experimental":[160],"results":[161],"validate":[162],"effectiveness":[164],"our":[166],"model.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}