{"id":"https://openalex.org/W4412897176","doi":"https://doi.org/10.1145/3746129","title":"Introduction to the Special Issue on Deep Reinforcement Learning for Recommender Systems","display_name":"Introduction to the Special Issue on Deep Reinforcement Learning for Recommender Systems","publication_year":2025,"publication_date":"2025-07-29","ids":{"openalex":"https://openalex.org/W4412897176","doi":"https://doi.org/10.1145/3746129"},"language":"en","primary_location":{"id":"doi:10.1145/3746129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746129","pdf_url":null,"source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},"type":"editorial","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/A5006514077","display_name":"Lianyong Qi","orcid":"https://orcid.org/0000-0001-9875-9856"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianyong Qi","raw_affiliation_strings":["China University of Petroleum East China"],"raw_orcid":"https://orcid.org/0000-0001-9875-9856","affiliations":[{"raw_affiliation_string":"China University of Petroleum East China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082317196","display_name":"Shoujin Wang","orcid":"https://orcid.org/0000-0003-1133-9379"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shoujin Wang","raw_affiliation_strings":["University of Technology Sydney"],"raw_orcid":"https://orcid.org/0000-0003-1133-9379","affiliations":[{"raw_affiliation_string":"University of Technology Sydney","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051706630","display_name":"Victor S. Sheng","orcid":"https://orcid.org/0000-0003-4960-174X"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor S. Sheng","raw_affiliation_strings":["Texas Tech University"],"raw_orcid":"https://orcid.org/0000-0003-4960-174X","affiliations":[{"raw_affiliation_string":"Texas Tech University","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052731721","display_name":"Lina Yao","orcid":"https://orcid.org/0000-0002-4149-839X"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lina Yao","raw_affiliation_strings":["University of New South Wales"],"raw_orcid":"https://orcid.org/0000-0002-4149-839X","affiliations":[{"raw_affiliation_string":"University of New South Wales","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":"1","first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9706000089645386,"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":0.9706000089645386,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.777902364730835},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7672117352485657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310077905654907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41306185722351074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2748306691646576}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.777902364730835},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7672117352485657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310077905654907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41306185722351074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2748306691646576}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746129","pdf_url":null,"source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1009324936","display_name":null,"funder_award_id":"ZR2023MF007","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W4392377456","https://openalex.org/W4394010817","https://openalex.org/W4394013299","https://openalex.org/W4394855678","https://openalex.org/W4398179368","https://openalex.org/W4401090676","https://openalex.org/W4409944786"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","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"],"abstract_inverted_index":{"Deep":[0],"Reinforcement":[1],"Learning":[2],"(DRL)":[3],"has":[4],"garnered":[5],"significant":[6],"attention":[7],"as":[8],"a":[9,48,95],"promising":[10],"approach":[11],"for":[12,24],"developing":[13],"intelligent":[14],"and":[15,36,59,67,71,83,116],"adaptive":[16],"recommender":[17],"systems.":[18],"This":[19,90],"paradigm":[20],"is":[21],"especially":[22],"well-suited":[23],"recommendation":[25,45,118],"scenarios":[26,46],"characterized":[27],"by":[28],"dynamic":[29],"user":[30,39],"environments,":[31],"temporally":[32],"delayed":[33],"feedback":[34],"signals,":[35],"continuously":[37],"shifting":[38],"preferences.":[40],"However,":[41],"deploying":[42],"DRL":[43],"within":[44],"introduces":[47],"range":[49],"of":[50,57,65,98],"intricate":[51],"challenges.":[52],"These":[53],"include":[54],"the":[55,72,110],"design":[56],"meaningful":[58],"task-aligned":[60],"reward":[61],"functions,":[62],"effective":[63],"navigation":[64],"vast":[66],"complex":[68],"action":[69],"spaces,":[70],"need":[73],"to":[74],"maintain":[75],"sample":[76],"efficiency":[77],"in":[78,121],"data-sparse":[79],"environments.":[80],"Ensuring":[81],"robust":[82],"stable":[84],"training":[85],"dynamics":[86],"adds":[87],"further":[88],"difficulty.":[89],"special":[91],"issue":[92],"brings":[93],"together":[94],"diverse":[96],"collection":[97],"cutting-edge":[99],"research":[100],"that":[101,108],"addresses":[102],"these":[103],"pressing":[104],"challenges,":[105],"showcasing":[106],"advances":[107],"move":[109],"field":[111],"toward":[112],"more":[113],"adaptive,":[114],"robust,":[115],"personalized":[117],"systems":[119],"grounded":[120],"reinforcement":[122],"learning.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}