{"id":"https://openalex.org/W4416744481","doi":"https://doi.org/10.5753/webmedia.2025.15127","title":"Extrapolation-Based Data Augmentation for Sequential Recommendation","display_name":"Extrapolation-Based Data Augmentation for Sequential Recommendation","publication_year":2025,"publication_date":"2025-11-10","ids":{"openalex":"https://openalex.org/W4416744481","doi":"https://doi.org/10.5753/webmedia.2025.15127"},"language":"en","primary_location":{"id":"doi:10.5753/webmedia.2025.15127","doi":"https://doi.org/10.5753/webmedia.2025.15127","is_oa":true,"landing_page_url":"https://doi.org/10.5753/webmedia.2025.15127","pdf_url":"https://sol.sbc.org.br/index.php/webmedia/article/download/37967/37745","source":{"id":"https://openalex.org/S4306417860","display_name":"Brazilian Symposium on Multimedia and the Web","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 31st Brazilian Symposium on Multimedia and the Web (WebMedia 2025)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://sol.sbc.org.br/index.php/webmedia/article/download/37967/37745","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118610226","display_name":"Vinicius B G Machado","orcid":"https://orcid.org/0000-0002-8066-6536","observed_orcids":["https://orcid.org/0000-0002-8066-6536","https://orcid.org/0009-0005-7036-2175"]},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vinicius Gabriel Machado","raw_affiliation_strings":["UFPR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFPR","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076850673","display_name":"Murilo Falleiros Lemos Schmitt","orcid":"https://orcid.org/0000-0002-7758-5778","observed_orcids":["https://orcid.org/0000-0002-7758-5778"]},"institutions":[{"id":"https://openalex.org/I4210133832","display_name":"Universidade Estadual do Centro-Oeste","ror":"https://ror.org/03cxsty68","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210133832"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Murilo F. L. Schmitt","raw_affiliation_strings":["UNICENTRO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNICENTRO","institution_ids":["https://openalex.org/I4210133832"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029791096","display_name":"Eduardo Jaques Spinosa","orcid":"https://orcid.org/0000-0003-4438-6198","observed_orcids":["https://orcid.org/0000-0003-4438-6198"]},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo J. Spinosa","raw_affiliation_strings":["UFPR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFPR","institution_ids":["https://openalex.org/I52418104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5315,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60479007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"238","last_page":"247"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0,"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/sequential-recommendation","display_name":"sequential recommendation","score":0.9419999718666077},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.968999981880188},{"id":"https://openalex.org/keywords/extrapolation","display_name":"extrapolation","score":0.7409999966621399},{"id":"https://openalex.org/keywords/self-supervised-learning","display_name":"self-supervised learning","score":0.9039999842643738},{"id":"https://openalex.org/keywords/bert4rec","display_name":"BERT4Rec","score":0.8980000019073486},{"id":"https://openalex.org/keywords/sequence-reconstruction","display_name":"sequence reconstruction","score":0.9449999928474426},{"id":"https://openalex.org/keywords/data-sparsity","display_name":"data sparsity","score":0.9259999990463257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046000003814697},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7069000005722046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6171000003814697},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6136000156402588},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6051999926567078},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5726000070571899},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5609999895095825},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4731000065803528},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4000999927520752},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.39809998869895935},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32260000705718994},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.30730000138282776},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.2590999901294708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5753/webmedia.2025.15127","doi":"https://doi.org/10.5753/webmedia.2025.15127","is_oa":true,"landing_page_url":"https://doi.org/10.5753/webmedia.2025.15127","pdf_url":"https://sol.sbc.org.br/index.php/webmedia/article/download/37967/37745","source":{"id":"https://openalex.org/S4306417860","display_name":"Brazilian Symposium on Multimedia and the Web","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 31st Brazilian Symposium on Multimedia and the Web (WebMedia 2025)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5753/webmedia.2025.15127","doi":"https://doi.org/10.5753/webmedia.2025.15127","is_oa":true,"landing_page_url":"https://doi.org/10.5753/webmedia.2025.15127","pdf_url":"https://sol.sbc.org.br/index.php/webmedia/article/download/37967/37745","source":{"id":"https://openalex.org/S4306417860","display_name":"Brazilian Symposium on Multimedia and the Web","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 31st Brazilian Symposium on Multimedia and the Web (WebMedia 2025)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G29316538","display_name":null,"funder_award_id":"(Code 001)","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416744481.pdf","grobid_xml":"https://content.openalex.org/works/W4416744481.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2027731328","https://openalex.org/W2101409192","https://openalex.org/W2150886314","https://openalex.org/W2171279286","https://openalex.org/W2219888463","https://openalex.org/W2262817822","https://openalex.org/W2610332124","https://openalex.org/W2626454364","https://openalex.org/W2783272285","https://openalex.org/W2790233751","https://openalex.org/W2790979755","https://openalex.org/W2886209086","https://openalex.org/W2911488506","https://openalex.org/W2913560138","https://openalex.org/W2963341956","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W3035669514","https://openalex.org/W3042512094","https://openalex.org/W3080374445","https://openalex.org/W3100417358","https://openalex.org/W3105472188","https://openalex.org/W3133849783","https://openalex.org/W3156977692","https://openalex.org/W3167826227","https://openalex.org/W3175536494","https://openalex.org/W3195554589","https://openalex.org/W3206127589","https://openalex.org/W3209810427","https://openalex.org/W4221145119","https://openalex.org/W4224313789","https://openalex.org/W4226210383","https://openalex.org/W4284692242","https://openalex.org/W4296604567","https://openalex.org/W4297971002","https://openalex.org/W4367046739","https://openalex.org/W4379382506","https://openalex.org/W4379539462","https://openalex.org/W4384648968","https://openalex.org/W4386566638","https://openalex.org/W4392367398","https://openalex.org/W4400703174","https://openalex.org/W4401864065","https://openalex.org/W4402404329","https://openalex.org/W4403767139","https://openalex.org/W4407948490"],"related_works":["https://openalex.org/W4224237075","https://openalex.org/W3195554589","https://openalex.org/W4388543968","https://openalex.org/W4417466209","https://openalex.org/W4417472739","https://openalex.org/W4409366281","https://openalex.org/W4385301194","https://openalex.org/W4405492003","https://openalex.org/W4388221290","https://openalex.org/W7160538648"],"abstract_inverted_index":{"With":[0],"the":[1,7,39,50,95,101,118,121,124,135,140,155,173,204,210,214],"advent":[2],"of":[3,31,42,72,98,120,139,159,168,218],"deep":[4,22],"learning":[5,68],"in":[6,66,134],"recommendation":[8,46],"field,":[9],"a":[10,151,169,190],"lot":[11],"ofwork":[12],"has":[13],"been":[14],"and":[15,48,84,137,202,213],"still":[16],"is":[17,184],"being":[18],"done":[19],"to":[20,25,44,54,80,94,161,176,189,199],"bring":[21],"learning-based":[23],"models":[24,103,201],"their":[26],"full":[27],"potential.":[28],"One":[29,70],"line":[30],"work,":[32],"Self-Supervised":[33],"Learning":[34],"(SSL),":[35],"focuses":[36],"on":[37,113],"extracting":[38],"maximum":[40],"potential":[41],"datasets":[43,212],"improve":[45],"performance,":[47],"at":[49,117,165,224],"same":[51],"time,":[52],"attempts":[53],"diminish":[55],"data-related":[56],"problems,":[57],"such":[58],"as":[59,187],"data":[60,164],"sparsity,":[61],"that":[62,104,127,153],"are":[63,108],"commonly":[64],"seen":[65],"machine":[67],"techniques.":[69],"branch":[71],"SSL":[73],"for":[74,86,89,147],"recommender":[75,193],"systems":[76],"uses":[77,154],"predictive":[78],"strategies":[79],"create":[81],"new":[82,92,115,163],"labels":[83],"examples":[85],"training":[87],"by,":[88],"instance,":[90],"adding":[91,114,132],"interactions":[93,116,133],"user\u2019s":[96],"history":[97],"interactions.":[99,179],"However,":[100],"existing":[102,174],"explore":[105],"this":[106],"idea":[107],"somewhat":[109],"limited.":[110],"They":[111],"focus":[112],"start":[119],"sequences,":[122],"ignoring":[123],"performance":[125,205,217],"improvements":[126,206],"could":[128],"be":[129],"achieved":[130],"by":[131,171],"middle":[136],"end":[138],"sequences.":[141],"We":[142,195],"propose":[143],"Extrapolation-based":[144],"Sequence":[145],"Augmentation":[146],"Sequential":[148],"Recommendation":[149],"(ESA4SRec),":[150],"model":[152],"sequence":[156,170],"reconstruction":[157],"capabilities":[158],"BERT4Rec":[160],"generate":[162],"any":[166],"position":[167],"extrapolating":[172],"knowledge":[175],"unknown,":[177],"novel":[178],"The":[180],"resulting":[181],"augmented":[182],"dataset":[183],"then":[185],"used":[186],"input":[188],"modelagnostic":[191],"sequential":[192],"system.":[194],"compare":[196],"our":[197,219],"approach":[198],"related":[200],"demonstrate":[203],"when":[207],"compared":[208],"with":[209],"original":[211],"overall":[215],"best":[216],"method.":[220],"ESA4SRec\u2019s":[221],"code":[222],"available":[223],"https://github.com/viniciusgm000/ESA4SRec.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-11-28T00:00:00"}