{"id":"https://openalex.org/W4414034851","doi":"https://doi.org/10.1145/3705328.3748164","title":"Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders","display_name":"Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414034851","doi":"https://doi.org/10.1145/3705328.3748164"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3748164","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748164","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748164","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748164","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107823381","display_name":"Danil Gusak","orcid":"https://orcid.org/0009-0008-1238-6533"},"institutions":[{"id":"https://openalex.org/I9115533","display_name":"Moscow Polytechnic University","ror":"https://ror.org/03paz2a60","country_code":"RU","type":"education","lineage":["https://openalex.org/I9115533"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Danil Gusak","raw_affiliation_strings":["AIRI, Moscow, Russian Federation and Skoltech, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0008-1238-6533","affiliations":[{"raw_affiliation_string":"AIRI, Moscow, Russian Federation and Skoltech, Moscow, Russian Federation","institution_ids":["https://openalex.org/I9115533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019624475","display_name":"Anna Volodkevich","orcid":"https://orcid.org/0009-0002-7958-0097"},"institutions":[{"id":"https://openalex.org/I9115533","display_name":"Moscow Polytechnic University","ror":"https://ror.org/03paz2a60","country_code":"RU","type":"education","lineage":["https://openalex.org/I9115533"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anna Volodkevich","raw_affiliation_strings":["Sber AI Lab, Moscow, Russian Federation and Skoltech, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0002-7958-0097","affiliations":[{"raw_affiliation_string":"Sber AI Lab, Moscow, Russian Federation and Skoltech, Moscow, Russian Federation","institution_ids":["https://openalex.org/I9115533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092867520","display_name":"Anton Klenitskiy","orcid":"https://orcid.org/0009-0005-8961-6921"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anton Klenitskiy","raw_affiliation_strings":["Sber AI Lab, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0005-8961-6921","affiliations":[{"raw_affiliation_string":"Sber AI Lab, Moscow, Russian Federation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012286441","display_name":"Alexey Vasilev","orcid":"https://orcid.org/0009-0007-1415-2004"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Vasilev","raw_affiliation_strings":["Sber AI Lab, Moscow, Russian Federation and HSE University, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0007-1415-2004","affiliations":[{"raw_affiliation_string":"Sber AI Lab, Moscow, Russian Federation and HSE University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010009492","display_name":"Evgeny Frolov","orcid":"https://orcid.org/0000-0003-3679-5311"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgeny Frolov","raw_affiliation_strings":["AIRI, Moscow, Russian Federation and HSE University, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0003-3679-5311","affiliations":[{"raw_affiliation_string":"AIRI, Moscow, Russian Federation and HSE University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I118501908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5107823381"],"corresponding_institution_ids":["https://openalex.org/I9115533"],"apc_list":null,"apc_paid":null,"fwci":14.5255,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98677376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"874","last_page":"883"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9876999855041504,"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"}},{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5799999833106995},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.578000009059906},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.44440001249313354},{"id":"https://openalex.org/keywords/sequential-analysis","display_name":"Sequential analysis","score":0.4194999933242798},{"id":"https://openalex.org/keywords/sequential-probability-ratio-test","display_name":"Sequential probability ratio test","score":0.40149998664855957},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3946000039577484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7307000160217285},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5799999833106995},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.578000009059906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4652999937534332},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.44440001249313354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44119998812675476},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.415800005197525},{"id":"https://openalex.org/C34602496","wikidata":"https://www.wikidata.org/wiki/Q2271882","display_name":"Sequential probability ratio test","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3946000039577484},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3037000000476837},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.2680000066757202}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3705328.3748164","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748164","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748164","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2507.16289","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.16289","pdf_url":"https://arxiv.org/pdf/2507.16289","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3705328.3748164","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748164","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748164","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414034851.pdf","grobid_xml":"https://content.openalex.org/works/W4414034851.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W2001259128","https://openalex.org/W2017121215","https://openalex.org/W2027731328","https://openalex.org/W2064675550","https://openalex.org/W2219888463","https://openalex.org/W2734755249","https://openalex.org/W2783272285","https://openalex.org/W2795199972","https://openalex.org/W2957191877","https://openalex.org/W2963367478","https://openalex.org/W2964296635","https://openalex.org/W2979826702","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W3026230850","https://openalex.org/W3081170586","https://openalex.org/W3088444111","https://openalex.org/W3088694469","https://openalex.org/W3089147479","https://openalex.org/W3101063193","https://openalex.org/W3101887415","https://openalex.org/W3105114834","https://openalex.org/W3134063549","https://openalex.org/W3154190849","https://openalex.org/W3154199194","https://openalex.org/W3156844209","https://openalex.org/W3185773347","https://openalex.org/W3201149665","https://openalex.org/W3206127589","https://openalex.org/W3208227120","https://openalex.org/W3208543775","https://openalex.org/W4226280022","https://openalex.org/W4283379500","https://openalex.org/W4283587264","https://openalex.org/W4285806565","https://openalex.org/W4288079981","https://openalex.org/W4290927925","https://openalex.org/W4296591843","https://openalex.org/W4296604375","https://openalex.org/W4296604407","https://openalex.org/W4296604567","https://openalex.org/W4384648390","https://openalex.org/W4385373885","https://openalex.org/W4385373976","https://openalex.org/W4385849288","https://openalex.org/W4386729001","https://openalex.org/W4386729349","https://openalex.org/W4386729798","https://openalex.org/W4386729952","https://openalex.org/W4391900848","https://openalex.org/W4403219586","https://openalex.org/W4403220074","https://openalex.org/W4403220659","https://openalex.org/W4403221549","https://openalex.org/W4403221552","https://openalex.org/W4403221577","https://openalex.org/W4403582629","https://openalex.org/W4405692849"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Modern":[0],"sequential":[1,35,101],"recommender":[2],"systems,":[3],"ranging":[4],"from":[5],"lightweight":[6],"transformer-based":[7],"variants":[8],"to":[9,22,43,76,100],"large":[10],"language":[11],"models,":[12],"have":[13],"become":[14],"increasingly":[15],"prominent":[16],"in":[17,26],"academia":[18],"and":[19,71,79],"industry":[20],"due":[21],"their":[23],"strong":[24],"performance":[25],"the":[27,45,57,67],"next-item":[28,63],"prediction":[29],"task.Yet":[30],"common":[31],"evaluation":[32],"protocols":[33],"for":[34],"recommendations":[36,102],"remain":[37,103],"insufficiently":[38],"developed:":[39],"they":[40],"often":[41],"fail":[42],"reflect":[44],"corresponding":[46],"recommendation":[47],"task":[48],"accurately,":[49],"or":[50],"are":[51],"not":[52],"aligned":[53],"with":[54],"real-world":[55,85],"scenarios.Although":[56],"widely":[58],"used":[59],"leave-one-out":[60],"split":[61],"matches":[62],"prediction,":[64],"it":[65],"permits":[66],"overlap":[68],"between":[69],"training":[70],"test":[72,82],"periods,":[73],"which":[74],"leads":[75],"temporal":[77,87],"leakage":[78],"unrealistically":[80],"long":[81],"horizon,":[83],"limiting":[84],"relevance.Global":[86],"splitting":[88],"addresses":[89],"these":[90],"issues":[91],"by":[92],"evaluating":[93],"on":[94],"distinct":[95],"future":[96],"periods.However,":[97],"its":[98],"applications":[99]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
