{"id":"https://openalex.org/W4416251885","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229036","title":"Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights","display_name":"Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251885","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229036"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5074346581","display_name":"Federico Siciliano","orcid":"https://orcid.org/0000-0003-1339-6983"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Federico Siciliano","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering,Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering,Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010418278","display_name":"Antonio Purificato","orcid":"https://orcid.org/0009-0009-3933-380X"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Purificato","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering,Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering,Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092550097","display_name":"Filippo Betello","orcid":"https://orcid.org/0009-0006-0945-9688"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Filippo Betello","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering,Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering,Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018894843","display_name":"Nicola Tonellotto","orcid":"https://orcid.org/0000-0002-7427-1001"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Tonellotto","raw_affiliation_strings":["University of Pisa,Information Engineering Department,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Information Engineering Department,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044165871","display_name":"Fabrizio Silvestri","orcid":"https://orcid.org/0000-0001-7669-9055"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabrizio Silvestri","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering,Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering,Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074346581"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47464044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.7103999853134155,"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":0.7103999853134155,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.05660000070929527,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.032600000500679016,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7239999771118164},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6780999898910522},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5774999856948853},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5472999811172485},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5152000188827515},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4977000057697296},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.39320001006126404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8131999969482422},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7239999771118164},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6780999898910522},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5627999901771545},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5472999811172485},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5152000188827515},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4977000057697296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4578000009059906},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.39320001006126404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3343999981880188},{"id":"https://openalex.org/C2776916960","wikidata":"https://www.wikidata.org/wiki/Q637156","display_name":"Warrant","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1757584","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1757584","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2071702404","https://openalex.org/W2171960770","https://openalex.org/W2219888463","https://openalex.org/W2783272285","https://openalex.org/W2886209086","https://openalex.org/W2913189099","https://openalex.org/W2950635152","https://openalex.org/W2963367478","https://openalex.org/W2965744319","https://openalex.org/W2984100107","https://openalex.org/W2989395196","https://openalex.org/W4288083766","https://openalex.org/W4384655737","https://openalex.org/W4385245566","https://openalex.org/W4385825811","https://openalex.org/W4386730465","https://openalex.org/W4392899608","https://openalex.org/W4403221344","https://openalex.org/W4405754319"],"related_works":[],"abstract_inverted_index":{"Sequential":[0],"Recommender":[1],"Systems":[2],"(SRSs)":[3],"have":[4],"predominantly":[5],"shifted":[6],"to":[7,86,91,114,135],"neural-based":[8],"models.":[9,27],"Despite":[10],"significant":[11],"advances,":[12],"Convolutional":[13],"Neural":[14],"Network":[15],"(CNN)-based":[16],"SRSs":[17],"are":[18,97],"rapidly":[19],"being":[20],"overshadowed":[21],"by":[22,49,112],"the":[23,51,64,72,105],"more":[24,99],"performant":[25],"attention-based":[26,108,137],"In":[28],"this":[29],"paper,":[30],"we":[31],"present":[32],"a":[33],"novel":[34],"modification":[35],"of":[36,104],"two":[37],"widely":[38],"used":[39,107],"CNN-based":[40,82,122],"SRSs,":[41,123],"Caser":[42],"and":[43,53,130],"CosRec.":[44],"We":[45],"improve":[46],"their":[47,92],"training":[48],"adapting":[50],"convolution":[52],"pooling":[54],"operations":[55],"so":[56],"that":[57,79,121],"they":[58,96],"can":[59],"be":[60],"trained":[61],"simultaneously":[62],"on":[63,71],"whole":[65],"input":[66],"sequence":[67],"rather":[68],"than":[69],"just":[70],"last":[73],"element.":[74],"Our":[75,139],"experimental":[76],"results":[77],"show":[78],"these":[80],"modified":[81],"models":[83],"achieve":[84],"up":[85,113],"+65%":[87],"in":[88,116],"NDCG@10":[89],"compared":[90],"original":[93],"versions.":[94],"Furthermore,":[95],"also":[98],"competitive":[100],"with":[101,124],"SASRec,":[102],"one":[103],"most":[106],"SRS,":[109],"surpassing":[110],"it":[111],"+53%":[115],"NDCG@10.":[117],"These":[118],"findings":[119],"suggest":[120],"appropriate":[125],"modifications,":[126],"warrant":[127],"further":[128],"investigation":[129],"may":[131],"offer":[132],"viable":[133],"alternatives":[134],"current":[136],"approaches.":[138],"code":[140],"is":[141],"available":[142],"at":[143],"https://github.com/antoniopurificato/recsys_conv_conf.":[144]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}