{"id":"https://openalex.org/W4385474011","doi":"https://doi.org/10.1145/3604915.3608859","title":"Time-Aware Item Weighting for the Next Basket Recommendations","display_name":"Time-Aware Item Weighting for the Next Basket Recommendations","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4385474011","doi":"https://doi.org/10.1145/3604915.3608859"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3608859","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2307.16297","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102726599","display_name":"Aleksey Romanov","orcid":"https://orcid.org/0009-0001-4760-2733"},"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":true,"raw_author_name":"Aleksey Romanov","raw_affiliation_strings":["National Research University Higher School of Economics, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0001-4760-2733","affiliations":[{"raw_affiliation_string":"National Research University Higher School of Economics, Russian Federation","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066605551","display_name":"Oleg Lashinin","orcid":"https://orcid.org/0000-0001-8894-9592"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oleg Lashinin","raw_affiliation_strings":["Artificial Intelligence, Tinkoff, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0001-8894-9592","affiliations":[{"raw_affiliation_string":"Artificial Intelligence, Tinkoff, Russian Federation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039510182","display_name":"Marina Ananyeva","orcid":"https://orcid.org/0000-0002-9885-2230"},"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":"Marina Ananyeva","raw_affiliation_strings":["National Research University Higher School of Economics, Russian Federation and Artificial Intelligence, Tinkoff, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-9885-2230","affiliations":[{"raw_affiliation_string":"National Research University Higher School of Economics, Russian Federation and Artificial Intelligence, Tinkoff, Russian Federation","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103199058","display_name":"Sergey Kolesnikov","orcid":"https://orcid.org/0000-0002-4820-987X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergey Kolesnikov","raw_affiliation_strings":["Artificial Intelligence, Tinkoff, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-4820-987X","affiliations":[{"raw_affiliation_string":"Artificial Intelligence, Tinkoff, Russian Federation","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102726599"],"corresponding_institution_ids":["https://openalex.org/I118501908"],"apc_list":null,"apc_paid":null,"fwci":4.0358,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9443498,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"985","last_page":"992"},"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/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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.8984537720680237},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.8672494888305664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8249927759170532},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.522061288356781},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3467542827129364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33239251375198364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3312748074531555},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.14876273274421692}],"concepts":[{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.8984537720680237},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8672494888305664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8249927759170532},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.522061288356781},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3467542827129364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33239251375198364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3312748074531555},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.14876273274421692},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3604915.3608859","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2307.16297","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.16297","pdf_url":"https://arxiv.org/pdf/2307.16297","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2307.16297","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.16297","pdf_url":"https://arxiv.org/pdf/2307.16297","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385474011.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2042281163","https://openalex.org/W2117311203","https://openalex.org/W2159094788","https://openalex.org/W2171279286","https://openalex.org/W2474909202","https://openalex.org/W2605350416","https://openalex.org/W2912746631","https://openalex.org/W2951227353","https://openalex.org/W2963669159","https://openalex.org/W2996931760","https://openalex.org/W3034352512","https://openalex.org/W3036125691","https://openalex.org/W3042251391","https://openalex.org/W3106400975","https://openalex.org/W3114085555","https://openalex.org/W3204257979","https://openalex.org/W4255920099","https://openalex.org/W4284678427","https://openalex.org/W4296591828","https://openalex.org/W4319586827","https://openalex.org/W4327644583"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W1986883493","https://openalex.org/W2180954594","https://openalex.org/W2469862403","https://openalex.org/W2052835778","https://openalex.org/W2166378262","https://openalex.org/W2035891203","https://openalex.org/W4379524643","https://openalex.org/W2049003611"],"abstract_inverted_index":{"In":[0,73],"this":[1,39],"paper":[2],"we":[3,41,75],"study":[4,82,86],"the":[5,28,77],"next":[6],"basket":[7],"recommendation":[8],"problem.":[9],"Recent":[10],"methods":[11],"use":[12,25],"different":[13],"approaches":[14],"to":[15],"achieve":[16],"better":[17],"performance.":[18],"However,":[19],"many":[20],"of":[21,30,79,87],"them":[22],"do":[23],"not":[24],"information":[26],"about":[27],"time":[29,33],"prediction":[31],"and":[32,53,64,83],"intervals":[34,54],"between":[35],"baskets.":[36],"To":[37],"fill":[38],"gap,":[40],"propose":[42],"a":[43,84,88],"novel":[44],"method,":[45],"Time-Aware":[46],"Item-based":[47],"Weighting":[48],"(TAIW),":[49],"which":[50],"takes":[51],"timestamps":[52],"into":[55],"account.":[56],"We":[57],"provide":[58],"experiments":[59],"on":[60],"three":[61],"real-world":[62],"datasets,":[63],"TAIW":[65],"outperforms":[66],"well-tuned":[67],"state-of-the-art":[68],"baselines":[69],"for":[70],"next-basket":[71],"recommendations.":[72],"addition,":[74],"show":[76],"results":[78],"an":[80],"ablation":[81],"case":[85],"few":[89],"items.":[90]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
