{"id":"https://openalex.org/W3034352512","doi":"https://doi.org/10.1145/3397271.3401066","title":"Modeling Personalized Item Frequency Information for Next-basket Recommendation","display_name":"Modeling Personalized Item Frequency Information for Next-basket Recommendation","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3034352512","doi":"https://doi.org/10.1145/3397271.3401066","mag":"3034352512"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401066","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5102816759","display_name":"Haoji Hu","orcid":"https://orcid.org/0000-0002-6548-2421"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haoji Hu","raw_affiliation_strings":["University of Minnesota, Twin Cities, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangnan He","raw_affiliation_strings":["University of Science and Technology of China, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101403129","display_name":"Jinyang Gao","orcid":"https://orcid.org/0000-0002-2094-3554"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyang Gao","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100622097","display_name":"Zhi-Li Zhang","orcid":"https://orcid.org/0000-0001-8584-2319"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi-Li Zhang","raw_affiliation_strings":["University of Minnesota, Twin Cities, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102816759"],"corresponding_institution_ids":["https://openalex.org/I130238516","https://openalex.org/I4210101327"],"apc_list":null,"apc_paid":null,"fwci":19.6999,"has_fulltext":false,"cited_by_count":122,"citation_normalized_percentile":{"value":0.99306663,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1071","last_page":"1080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.991599977016449,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9609000086784363,"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":0.795414388179779},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7111186981201172},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6457805037498474},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6110655665397644},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6102786064147949},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5995325446128845},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43908604979515076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4277424216270447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38494378328323364},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3370019197463989},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2754676342010498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795414388179779},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7111186981201172},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6457805037498474},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6110655665397644},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6102786064147949},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5995325446128845},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43908604979515076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4277424216270447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38494378328323364},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3370019197463989},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2754676342010498},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397271.3401066","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1689711448","https://openalex.org/W1802825888","https://openalex.org/W1815076433","https://openalex.org/W1985854669","https://openalex.org/W1986337634","https://openalex.org/W1992270714","https://openalex.org/W1994389483","https://openalex.org/W1999047234","https://openalex.org/W2008161828","https://openalex.org/W2028988057","https://openalex.org/W2037699108","https://openalex.org/W2042281163","https://openalex.org/W2064675550","https://openalex.org/W2072160811","https://openalex.org/W2080320419","https://openalex.org/W2142144955","https://openalex.org/W2171279286","https://openalex.org/W2316836042","https://openalex.org/W2339311053","https://openalex.org/W2474909202","https://openalex.org/W2605350416","https://openalex.org/W2746011824","https://openalex.org/W2795199972","https://openalex.org/W2798984840","https://openalex.org/W2808310571","https://openalex.org/W2867941393","https://openalex.org/W2885208219","https://openalex.org/W2896962583","https://openalex.org/W2908054697","https://openalex.org/W2911645413","https://openalex.org/W2912746631","https://openalex.org/W2951227353","https://openalex.org/W2963085847","https://openalex.org/W2963367478","https://openalex.org/W2963669159","https://openalex.org/W2964296635","https://openalex.org/W2972941122","https://openalex.org/W2998843058","https://openalex.org/W3012907770","https://openalex.org/W3045200674","https://openalex.org/W3101063193","https://openalex.org/W3103289951"],"related_works":["https://openalex.org/W4296749040","https://openalex.org/W4230197055","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W4390273403","https://openalex.org/W3012257603","https://openalex.org/W3177475962","https://openalex.org/W1586784764","https://openalex.org/W4292264782","https://openalex.org/W4386781444"],"abstract_inverted_index":{"Next-basket":[0],"recommendation":[1,30,49,94],"(NBR)":[2],"is":[3,38],"prevalent":[4],"in":[5,39,92],"e-commerce":[6],"and":[7,29,74],"retail":[8],"industry.":[9],"In":[10],"this":[11],"scenario,":[12],"a":[13,16,23,33,57],"user":[14],"purchases":[15],"set":[17],"of":[18,35,59],"items":[19],"(a":[20],"basket)":[21],"at":[22],"time.":[24],"NBR":[25,37],"performs":[26],"sequential":[27,47,72],"modeling":[28],"based":[31,55],"on":[32,56],"sequence":[34,58],"baskets.":[36],"general":[40],"more":[41],"complex":[42],"than":[43],"the":[44,52,93],"widely":[45],"studied":[46],"(session-based)":[48],"which":[50],"recommends":[51],"next":[53],"item":[54,89],"items.":[60],"Recurrent":[61],"neural":[62],"network":[63],"(RNN)":[64],"has":[65],"proved":[66],"to":[67],"be":[68],"very":[69],"effective":[70],"for":[71,78],"modeling,":[73],"thus":[75],"been":[76],"adapted":[77],"NBR.":[79],"However,":[80],"we":[81],"argue":[82],"that":[83],"existing":[84],"RNNs":[85],"cannot":[86],"directly":[87],"capture":[88],"frequency":[90],"information":[91],"scenario.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}