{"id":"https://openalex.org/W4284708427","doi":"https://doi.org/10.1145/3477495.3532022","title":"Multi-Agent RL-based Information Selection Model for Sequential Recommendation","display_name":"Multi-Agent RL-based Information Selection Model for Sequential Recommendation","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284708427","doi":"https://doi.org/10.1145/3477495.3532022"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3532022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3532022","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5101930594","display_name":"Kaiyuan Li","orcid":"https://orcid.org/0009-0003-6370-1031"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399541","display_name":"Pengfei Wang","orcid":"https://orcid.org/0000-0001-8658-7102"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100734069","display_name":"Chenliang Li","orcid":"https://orcid.org/0000-0003-3144-6374"},"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":"Chenliang Li","raw_affiliation_strings":["Wuhan University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Beijing, 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":1.005,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75976156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1622","last_page":"1631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8717280626296997},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8099228143692017},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6735861897468567},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6146187782287598},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5157501697540283},{"id":"https://openalex.org/keywords/mainstream","display_name":"Mainstream","score":0.4894534647464752},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46164077520370483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43015462160110474},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4142382740974426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3786955773830414},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2135273516178131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8717280626296997},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8099228143692017},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6735861897468567},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6146187782287598},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5157501697540283},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.4894534647464752},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46164077520370483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43015462160110474},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4142382740974426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3786955773830414},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2135273516178131},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477495.3532022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3532022","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1985854669","https://openalex.org/W2027731328","https://openalex.org/W2094286023","https://openalex.org/W2171279286","https://openalex.org/W2507487739","https://openalex.org/W2512965516","https://openalex.org/W2617547828","https://openalex.org/W2766658708","https://openalex.org/W2955106599","https://openalex.org/W2965866655","https://openalex.org/W2972965281","https://openalex.org/W2981038142","https://openalex.org/W2984100107","https://openalex.org/W3044893918","https://openalex.org/W3081170586","https://openalex.org/W3135396887","https://openalex.org/W3147607661","https://openalex.org/W3152943193","https://openalex.org/W3153935502","https://openalex.org/W3154345605","https://openalex.org/W3155341709","https://openalex.org/W3178835722","https://openalex.org/W3192117888"],"related_works":["https://openalex.org/W2576496345","https://openalex.org/W2381410797","https://openalex.org/W3214915308","https://openalex.org/W3097853387","https://openalex.org/W3202147931","https://openalex.org/W2002418671","https://openalex.org/W2895496846","https://openalex.org/W2010659179","https://openalex.org/W4379375098","https://openalex.org/W3169605347"],"abstract_inverted_index":{"For":[0],"sequential":[1,7,69,121],"recommender,":[2],"the":[3,16,21,26,67,75,99],"coarse-grained":[4],"yet":[5],"sparse":[6],"signals":[8],"mined":[9],"from":[10],"massive":[11],"user-item":[12],"interactions":[13],"have":[14,116],"become":[15],"bottleneck":[17],"to":[18,41,87,92],"further":[19],"improve":[20],"recommendation":[22,105],"performance.":[23],"To":[24],"alleviate":[25,98],"spareness":[27],"problem,":[28],"exploiting":[29],"auxiliary":[30,95],"semantic":[31],"features":[32,59],"(\\eg":[33],"textual":[34],"descriptions,":[35],"visual":[36],"images":[37],"and":[38,71,97,110],"knowledge":[39],"graph)":[40],"enrich":[42],"contextual":[43],"information":[44,96],"then":[45],"turns":[46],"into":[47],"a":[48,89,103],"mainstream":[49],"methodology.":[50],"Though":[51],"effective,":[52],"we":[53],"argue":[54],"that":[55],"these":[56],"different":[57],"heterogeneous":[58],"certainly":[60],"include":[61],"much":[62],"noise":[63],"which":[64],"may":[65],"overwhelm":[66],"valuable":[68],"signals,":[70],"therefore":[72],"easily":[73],"reach":[74],"phenomenon":[76],"of":[77],"negative":[78,100],"collaboration":[79,101],"(ie":[80],"1":[81,83],"+":[82],">":[84],"2).":[85],"How":[86],"design":[88],"flexible":[90],"strategy":[91],"select":[93],"proper":[94],"towards":[102],"better":[104],"is":[106],"still":[107],"an":[108],"interesting":[109],"open":[111],"question.":[112],"Unfortunately,":[113],"few":[114],"works":[115],"addressed":[117],"this":[118],"challenge":[119],"in":[120],"recommendation.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}