{"id":"https://openalex.org/W4396877892","doi":"https://doi.org/10.1109/tkde.2024.3400031","title":"AutoSR: Automatic Sequential Recommendation System Design","display_name":"AutoSR: Automatic Sequential Recommendation System Design","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4396877892","doi":"https://doi.org/10.1109/tkde.2024.3400031"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3400031","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tkde.2024.3400031","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5053895940","display_name":"Chunnan Wang","orcid":"https://orcid.org/0000-0002-8971-7096"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunnan Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-8971-7096","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396652","display_name":"Hongzhi Wang","orcid":"https://orcid.org/0000-0002-7521-2871"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhi Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-7521-2871","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114723683","display_name":"Junzhe Wang","orcid":"https://orcid.org/0009-0006-8449-5419"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzhe Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0006-8449-5419","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110832205","display_name":"Guosheng Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Guosheng Feng","raw_affiliation_strings":["École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2401,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61331517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"36","issue":"11","first_page":"5647","last_page":"5660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.7936000227928162,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.7936000227928162,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.7103000283241272,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.656000018119812,"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/computer-science","display_name":"Computer science","score":0.8250309228897095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250309228897095}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3400031","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tkde.2024.3400031","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3792927286","display_name":null,"funder_award_id":"U1866602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G712047068","display_name":null,"funder_award_id":"62202126","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7508556822","display_name":null,"funder_award_id":"62232005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2119717200","https://openalex.org/W2128629010","https://openalex.org/W2171279286","https://openalex.org/W2746553466","https://openalex.org/W2796265726","https://openalex.org/W2903749028","https://openalex.org/W2951645301","https://openalex.org/W2955051405","https://openalex.org/W2960010704","https://openalex.org/W2964296635","https://openalex.org/W2964809821","https://openalex.org/W2965286893","https://openalex.org/W2965658867","https://openalex.org/W2997806280","https://openalex.org/W3034357629","https://openalex.org/W3034723893","https://openalex.org/W3035170973","https://openalex.org/W3041360407","https://openalex.org/W3044893918","https://openalex.org/W3081190557","https://openalex.org/W3081362488","https://openalex.org/W3082366738","https://openalex.org/W3095058588","https://openalex.org/W3104506006","https://openalex.org/W3134119092","https://openalex.org/W3152943193","https://openalex.org/W3153754021","https://openalex.org/W3154921101","https://openalex.org/W3177031501","https://openalex.org/W3178835722","https://openalex.org/W3190884738","https://openalex.org/W3197870239","https://openalex.org/W3208642157","https://openalex.org/W4224227049","https://openalex.org/W4224315226","https://openalex.org/W4224320476","https://openalex.org/W4313558118"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"SequentialRecommendation":[0],"(SR)":[1],"System":[2],"emerged":[3],"recently":[4],"as":[5],"a":[6,99,110],"powerful":[7,49,152,170],"tool":[8,43],"for":[9,102,179],"suggesting":[10],"users":[11],"with":[12,130],"the":[13,22,61,65,73,103,117,131,157,175,188,198],"next":[14],"item":[15],"of":[16,24,48,64,95,105,160],"interest.":[17],"Despite":[18],"their":[19],"great":[20],"success,":[21],"design":[23,47,62,147],"SR":[25,50,66,75,89,118,145,153,171,193],"systems":[26,51,67,76,90,154],"requires":[27],"heavy":[28],"manual":[29],"work":[30],"and":[31,68,125,148],"domain":[32],"knowledge.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,59,108],"present$\\mathbf":[38],"{AutoSR}$,":[39,58],"an":[40,83],"effectiveAutomatedMachineLearning":[41],"(AutoML)":[42],"that":[44],"enables":[45],"automatic":[46],"based":[52],"onGraphNeuralNetwork":[53],"(GNN)":[54],"andReinforcementLearning":[55],"(RL).":[56],"In$\\mathbf":[57],"summarize":[60],"process":[63],"extract":[69],"effective":[70,93],"operations":[71,94,122],"from":[72],"existing":[74,132,189],"to":[77,114,174],"construct":[78],"our":[79],"search":[80,85,119,180],"space.":[81],"Such":[82],"experience-based":[84],"space":[86,181],"generates":[87],"diverse":[88,126],"by":[91,155],"integrating":[92],"different":[96],"systems,":[97,172],"providing":[98],"basic":[100],"condition":[101],"implementation":[104],"AutoML.":[106],"Besides,":[107],"propose":[109],"graph-based":[111],"RL":[112],"method":[113],"efficiently":[115,149],"explore":[116],"space,":[120],"where":[121],"have":[123],"complex":[124],"application":[127],"conditions.":[128],"Compared":[129],"AutoML":[133,190],"methods,":[134],"which":[135,196],"ignore":[136],"potential":[137],"relations":[138],"among":[139],"operations,$\\mathbf":[140],"{AutoSR}$can":[141,168],"greatly":[142],"avoid":[143],"invalid":[144],"system":[146,194],"discover":[150],"more":[151,185],"analyzing":[156],"relation":[158],"graph":[159],"various":[161],"operations.":[162],"Extensive":[163],"experimental":[164],"results":[165],"show":[166],"that$\\mathbf":[167],"gain":[169],"superior":[173],"existing$\\mathbf":[176],"{AutoSR}$systems":[177],"used":[178],"construction.":[182],"Besides,$\\mathbf":[183],"{AutoSR}$is":[184],"efficient":[186],"than":[187],"algorithms":[191],"in":[192],"design,":[195],"demonstrate":[197],"superiority":[199],"of$\\mathbf":[200],"{AutoSR}$.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}