{"id":"https://openalex.org/W3200949530","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533818","title":"DEN-DQL: Quick Convergent Deep Q-Learning with Double Exploration Networks for News Recommendation","display_name":"DEN-DQL: Quick Convergent Deep Q-Learning with Double Exploration Networks for News Recommendation","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200949530","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533818","mag":"3200949530"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5071580642","display_name":"Zhanghan Song","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanghan Song","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056862578","display_name":"Dian Zhang","orcid":"https://orcid.org/0000-0002-0979-2185"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dian Zhang","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064888917","display_name":"Xiaochuan Shi","orcid":"https://orcid.org/0000-0002-2044-0965"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochuan Shi","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318161","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-3135-0447"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023893507","display_name":"Chao Ma","orcid":"https://orcid.org/0000-0002-7443-6267"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ma","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108047844","display_name":"Libing Wu","orcid":"https://orcid.org/0000-0001-9897-1953"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libing Wu","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0227,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76732897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9991000294685364,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9460999965667725,"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/computer-science","display_name":"Computer science","score":0.7964375019073486},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7116105556488037},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6621394157409668},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6528379917144775},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6002803444862366},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5365016460418701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46654772758483887},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4300115406513214},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4300056993961334},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.37720704078674316},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37019315361976624},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3678382635116577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3376135230064392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964375019073486},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7116105556488037},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6621394157409668},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6528379917144775},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6002803444862366},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5365016460418701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46654772758483887},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4300115406513214},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4300056993961334},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.37720704078674316},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37019315361976624},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3678382635116577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3376135230064392},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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":38,"referenced_works":["https://openalex.org/W116854235","https://openalex.org/W282081402","https://openalex.org/W1479916289","https://openalex.org/W1561517109","https://openalex.org/W1602639018","https://openalex.org/W1614298861","https://openalex.org/W1729969041","https://openalex.org/W1983328081","https://openalex.org/W2009979684","https://openalex.org/W2108738385","https://openalex.org/W2109421086","https://openalex.org/W2109720450","https://openalex.org/W2110443819","https://openalex.org/W2112420033","https://openalex.org/W2123427850","https://openalex.org/W2128554561","https://openalex.org/W2137063737","https://openalex.org/W2145339207","https://openalex.org/W2147892741","https://openalex.org/W2153111836","https://openalex.org/W2295739661","https://openalex.org/W2471222571","https://openalex.org/W2475334473","https://openalex.org/W2512370135","https://openalex.org/W2608990489","https://openalex.org/W2743904806","https://openalex.org/W2982316422","https://openalex.org/W3013325382","https://openalex.org/W3016968320","https://openalex.org/W3034163353","https://openalex.org/W3034503922","https://openalex.org/W3084487255","https://openalex.org/W4238018490","https://openalex.org/W6609985470","https://openalex.org/W6636510571","https://openalex.org/W6676077707","https://openalex.org/W6736652582","https://openalex.org/W6775329520"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"Due":[0],"to":[1,28,85,99,110,115,143,152,159],"the":[2,30,45,63,106,117,154,163,170,174,185],"dynamic":[3,72],"characteristics":[4],"of":[5,32,65,173,184],"news":[6,46,127,156],"and":[7,71,146],"user":[8],"preferences,":[9],"personalized":[10],"recommendation":[11,17,47,128],"is":[12,83,97,108,167],"a":[13,92,122,140],"challenging":[14],"problem.":[15],"Traditional":[16],"methods":[18],"simply":[19],"focus":[20],"on":[21,50,59,67,101,130],"current":[22,33],"reward,":[23],"which":[24,87,178],"just":[25],"recommend":[26],"items":[27],"maximize":[29],"number":[31],"clicks.":[34],"And":[35],"this":[36],"may":[37,88],"reduce":[38],"users'":[39],"interest":[40],"in":[41,169],"similar":[42],"items.":[43],"Although":[44],"framework":[48,123],"based":[49,58,129],"deep":[51,60,131],"reinforcement":[52],"learning":[53],"preciously":[54],"proposed":[55,186],"(i.e,":[56],"DRL,":[57],"Q-learning)":[61],"has":[62,76],"advantages":[64],"focusing":[66],"future":[68],"total":[69],"rewards":[70,145],"interactive":[73],"recommendation,":[74],"it":[75,96],"two":[77],"issues.":[78],"First,":[79],"its":[80],"exploration":[81,135],"method":[82,142],"slow":[84],"converge,":[86],"bring":[89],"new":[90,141],"users":[91],"bad":[93],"experience.":[94],"Second,":[95],"hard":[98],"train":[100,160],"off-line":[102,149],"data":[103,150,176],"set":[104,151],"because":[105],"reward":[107],"difficult":[109],"be":[111],"determined.":[112],"In":[113],"order":[114],"address":[116],"aforementioned":[118],"issues,":[119],"we":[120,138],"propose":[121],"named":[124],"DEN-DQL":[125,166],"for":[126],"Q-learning":[132],"with":[133],"double":[134],"networks.":[136],"Also,":[137],"develop":[139],"calculate":[144],"use":[147],"an":[148],"simulate":[153],"online":[155,171],"clicking":[157],"environment":[158,172],"DEN-DQL.":[161,187],"Then,":[162],"well":[164],"trained":[165],"tested":[168],"same":[175],"set,":[177],"demonstrates":[179],"at":[180],"least":[181],"10%":[182],"improvement":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}