{"id":"https://openalex.org/W4319586827","doi":"https://doi.org/10.1109/dsaa54385.2022.10032359","title":"A Systematical Evaluation for Next-Basket Recommendation Algorithms","display_name":"A Systematical Evaluation for Next-Basket Recommendation Algorithms","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4319586827","doi":"https://doi.org/10.1109/dsaa54385.2022.10032359"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa54385.2022.10032359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa54385.2022.10032359","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060737208","display_name":"Zhufeng Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhufeng Shao","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),School of Computer,Jinan,China","School of Computer, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),School of Computer,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082317196","display_name":"Shoujin Wang","orcid":"https://orcid.org/0000-0003-1133-9379"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shoujin Wang","raw_affiliation_strings":["University of Technology Sydney,The Data Science Institute,Sydney,Australia","The Data Science Institute, University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,The Data Science Institute,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"The Data Science Institute, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114378267","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-9205-1881"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),School of Computer,Jinan,China","School of Computer, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),School of Computer,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076564877","display_name":"Wenpeng L\u00fc","orcid":"https://orcid.org/0000-0002-1840-3540"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenpeng Lu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),School of Computer,Jinan,China","School of Computer, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),School of Computer,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032277491","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0002-5056-0351"},"institutions":[{"id":"https://openalex.org/I4210110931","display_name":"Jinan Institute of Quantum Technology","ror":"https://ror.org/02557nd11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210110931"]},{"id":"https://openalex.org/I4210158984","display_name":"National Supercomputing Center in Wuxi","ror":"https://ror.org/04ypjrs34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210158984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["Shandong Evay Info Technology Co., Ltd.,Jinan,China","Shandong Evay Info Technology Co., Ltd., Jinan, China","Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Evay Info Technology Co., Ltd.,Jinan,China","institution_ids":["https://openalex.org/I4210110931"]},{"raw_affiliation_string":"Shandong Evay Info Technology Co., Ltd., Jinan, China","institution_ids":[]},{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, China","institution_ids":["https://openalex.org/I4210158984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043549588","display_name":"Xueping Peng","orcid":"https://orcid.org/0000-0002-8901-1472"},"institutions":[{"id":"https://openalex.org/I4210158984","display_name":"National Supercomputing Center in Wuxi","ror":"https://ror.org/04ypjrs34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210158984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueping Peng","raw_affiliation_strings":["Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China","Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China","institution_ids":["https://openalex.org/I4210158984"]},{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, China","institution_ids":["https://openalex.org/I4210158984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11478","display_name":"Caching and Content Delivery","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.98089998960495,"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/computer-science","display_name":"Computer science","score":0.752061128616333},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6735851764678955},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.6079761981964111},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5697481632232666},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4461633563041687},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.44148558378219604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3797723352909088},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35379311442375183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27957314252853394},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12213882803916931}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.752061128616333},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6735851764678955},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6079761981964111},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5697481632232666},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4461633563041687},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.44148558378219604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3797723352909088},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35379311442375183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27957314252853394},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12213882803916931},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa54385.2022.10032359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa54385.2022.10032359","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1985854669","https://openalex.org/W2171279286","https://openalex.org/W2294913637","https://openalex.org/W2295594781","https://openalex.org/W2474909202","https://openalex.org/W2739901700","https://openalex.org/W2788997749","https://openalex.org/W2795199972","https://openalex.org/W2798984840","https://openalex.org/W2808310571","https://openalex.org/W2912011540","https://openalex.org/W2940934175","https://openalex.org/W2951227353","https://openalex.org/W2964648863","https://openalex.org/W2964694324","https://openalex.org/W2965744319","https://openalex.org/W2966827122","https://openalex.org/W2997310152","https://openalex.org/W3033342855","https://openalex.org/W3034352512","https://openalex.org/W3035642447","https://openalex.org/W3036125691","https://openalex.org/W3042251391","https://openalex.org/W3088444111","https://openalex.org/W3093133157","https://openalex.org/W3093652648","https://openalex.org/W3099547984","https://openalex.org/W3099845332","https://openalex.org/W3100480425","https://openalex.org/W3101063193","https://openalex.org/W3105472188","https://openalex.org/W3106400975","https://openalex.org/W3139159537","https://openalex.org/W3153687708","https://openalex.org/W3185693672","https://openalex.org/W3190939583","https://openalex.org/W3201030325","https://openalex.org/W3206914405","https://openalex.org/W3208942872","https://openalex.org/W4220729518","https://openalex.org/W4226207617","https://openalex.org/W4284678427","https://openalex.org/W4387618416","https://openalex.org/W6646533678","https://openalex.org/W6697714055"],"related_works":["https://openalex.org/W2968745142","https://openalex.org/W2809363009","https://openalex.org/W2369936857","https://openalex.org/W2348159088","https://openalex.org/W2045871438","https://openalex.org/W2499363748","https://openalex.org/W2350747448","https://openalex.org/W2368095327","https://openalex.org/W2122731942","https://openalex.org/W2402445420"],"abstract_inverted_index":{"Next":[0],"basket":[1,12],"recommender":[2],"systems":[3],"(NBRs)":[4],"aim":[5],"to":[6,35,114,184],"recommend":[7],"a":[8,29,69,85,88,134,181,196],"user\u2019s":[9,18,25],"next":[10],"(shopping)":[11],"of":[13,31,71,87,121],"items":[14,21],"via":[15],"modeling":[16],"the":[17,24,40,44,94,119,144,158,163,167,176,200],"preferences":[19],"towards":[20],"based":[22],"on":[23,104,162],"purchase":[26],"history,":[27],"usually":[28],"sequence":[30],"historical":[32],"baskets.":[33],"Due":[34],"its":[36],"wide":[37],"applicability":[38],"in":[39,51,65,129,138,147,203],"real-world":[41],"E-commerce":[42],"industry,":[43],"studies":[45,99],"NBR":[46,72,96,102,123,139,148,160,188],"have":[47,55],"attracted":[48],"increasing":[49],"attention":[50],"recent":[52],"years.":[53],"NBRs":[54],"been":[56,63,75],"widely":[57],"studied":[58],"and":[59,90,116,149,153,171],"much":[60],"progress":[61],"has":[62],"achieved":[64],"this":[66,127,130,192,204],"area":[67],"with":[68],"variety":[70],"approaches":[73,103],"having":[74],"proposed.":[76],"However,":[77],"an":[78],"important":[79],"issue":[80],"is":[81,84],"that":[82],"there":[83],"lack":[86],"systematic":[89],"unified":[91,182],"evaluation":[92],"over":[93],"various":[95],"approaches.":[97,124,189],"Different":[98],"often":[100],"evaluate":[101,172],"different":[105,108,122,187],"datasets,":[106,165],"under":[107,166],"experimental":[109,169],"settings,":[110],"making":[111],"it":[112],"hard":[113],"fairly":[115,185],"effectively":[117],"compare":[118,186],"performance":[120],"To":[125],"bridge":[126],"gap,":[128],"work,":[131],"we":[132,142,156],"conduct":[133],"systematical":[135],"empirical":[136],"study":[137,193],"area.":[140,206],"Specifically,":[141],"review":[143],"representative":[145],"work":[146],"analyze":[150],"their":[151,173],"cons":[152],"pros.":[154],"Then,":[155],"run":[157],"selected":[159],"algorithms":[161],"same":[164,168,177],"setting":[170],"performances":[174],"using":[175],"measurements.":[178],"This":[179],"provides":[180],"framework":[183],"We":[190],"hope":[191],"can":[194],"provide":[195],"valuable":[197],"reference":[198],"for":[199],"future":[201],"research":[202],"vibrant":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}