{"id":"https://openalex.org/W4200436718","doi":"https://doi.org/10.1109/kse53942.2021.9648773","title":"Modeling Multi-Intent Basket Sequences for Next-Basket Recommendation","display_name":"Modeling Multi-Intent Basket Sequences for Next-Basket Recommendation","publication_year":2021,"publication_date":"2021-11-10","ids":{"openalex":"https://openalex.org/W4200436718","doi":"https://doi.org/10.1109/kse53942.2021.9648773"},"language":"en","primary_location":{"id":"doi:10.1109/kse53942.2021.9648773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse53942.2021.9648773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","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/A5011631688","display_name":"Quoc-Viet Hoang","orcid":"https://orcid.org/0000-0003-2515-9213"},"institutions":[{"id":"https://openalex.org/I177233841","display_name":"Vietnam National University, Hanoi","ror":"https://ror.org/02jmfj006","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Quoc-Viet Pham Hoang","raw_affiliation_strings":["University of Engineering and Technology, Vietnam National University,Hanoi,Vietnam","University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Engineering and Technology, Vietnam National University,Hanoi,Vietnam","institution_ids":["https://openalex.org/I177233841"]},{"raw_affiliation_string":"University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I177233841"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101555110","display_name":"Duc-Trong Le","orcid":"https://orcid.org/0000-0003-4621-8956"},"institutions":[{"id":"https://openalex.org/I177233841","display_name":"Vietnam National University, Hanoi","ror":"https://ror.org/02jmfj006","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duc-Trong Le","raw_affiliation_strings":["University of Engineering and Technology, Vietnam National University,Hanoi,Vietnam","University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Engineering and Technology, Vietnam National University,Hanoi,Vietnam","institution_ids":["https://openalex.org/I177233841"]},{"raw_affiliation_string":"University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I177233841"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177233841"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10028","display_name":"Topic Modeling","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.762505054473877},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6615947484970093},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5859061479568481},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5696090459823608},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5456619262695312},{"id":"https://openalex.org/keywords/affinity-analysis","display_name":"Affinity analysis","score":0.45486021041870117},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45315125584602356},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.44000253081321716},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4146275520324707},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.41289401054382324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36229318380355835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36039936542510986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34743785858154297},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11989006400108337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10772442817687988},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.10264873504638672},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08161619305610657},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.073174387216568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762505054473877},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6615947484970093},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5859061479568481},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5696090459823608},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5456619262695312},{"id":"https://openalex.org/C23906176","wikidata":"https://www.wikidata.org/wiki/Q727515","display_name":"Affinity analysis","level":3,"score":0.45486021041870117},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45315125584602356},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.44000253081321716},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4146275520324707},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.41289401054382324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36229318380355835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36039936542510986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34743785858154297},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11989006400108337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10772442817687988},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.10264873504638672},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08161619305610657},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.073174387216568},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse53942.2021.9648773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse53942.2021.9648773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2880735308","display_name":null,"funder_award_id":"CN20.23","funder_id":"https://openalex.org/F4320337882","funder_display_name":"Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc C\u00f4ng ngh\u1ec7, \u0110\u1ea1i h\u1ecdc Qu\u1ed1c Gia H\u00e0 N\u1ed9i"}],"funders":[{"id":"https://openalex.org/F4320337882","display_name":"Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc C\u00f4ng ngh\u1ec7, \u0110\u1ea1i h\u1ecdc Qu\u1ed1c Gia H\u00e0 N\u1ed9i","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1985854669","https://openalex.org/W1989318262","https://openalex.org/W2072498832","https://openalex.org/W2140310134","https://openalex.org/W2171279286","https://openalex.org/W2474909202","https://openalex.org/W2783272285","https://openalex.org/W2807891923","https://openalex.org/W2899457523","https://openalex.org/W2945623882","https://openalex.org/W2948382728","https://openalex.org/W2964044287","https://openalex.org/W2964648863","https://openalex.org/W3013068298","https://openalex.org/W3014930781","https://openalex.org/W3034352512","https://openalex.org/W3035642447","https://openalex.org/W3093652648","https://openalex.org/W3098068064","https://openalex.org/W3101707147","https://openalex.org/W3106041987","https://openalex.org/W3132536212","https://openalex.org/W4299286960","https://openalex.org/W6680830989","https://openalex.org/W6692935382","https://openalex.org/W6776001862"],"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/W1657011257","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W2342498029"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"have":[2],"a":[3,18,25,72,97,115,130,147],"preponderance":[4],"in":[5,24,75],"assisting":[6],"customers":[7],"to":[8,29,102,107,135,150,167,180],"save":[9],"time":[10],"by":[11],"suggesting":[12],"relevant":[13,112],"options.":[14],"With":[15,60],"this":[16,93],"convenience,":[17],"customer":[19],"may":[20],"purchase":[21],"multiple":[22,43],"items":[23,173],"browsing":[26],"session,":[27],"referred":[28],"as":[30],"an":[31,89],"item":[32,169],"basket.":[33,77],"The":[34,78,171],"notion":[35],"of":[36,42,55,63,68,111,194],"basket":[37,53,65,82,105,110,117,120,139],"manifests":[38],"his":[39,56],"underlying":[40],"preference":[41],"implicit":[44],"intentions,":[45],"which":[46,155],"becomes":[47,88],"more":[48],"sophisticated":[49],"once":[50],"considering":[51],"the":[52,61,85,125,137,152,160,164,175,182,192,201],"sequence":[54],"chronological":[57],"intersession":[58],"list.":[59],"objective":[62],"modeling":[64],"sequences,":[66],"most":[67],"previous":[69],"methods":[70],"hypothesize":[71],"homogeneous":[73],"intention":[74],"each":[76,119],"exploitation":[79],"on":[80,187],"multi-intent":[81,104,165],"sequences":[83,106],"for":[84,200],"recommendation":[86,203],"task":[87],"emerging":[90],"demand.":[91],"In":[92],"work,":[94],"we":[95],"present":[96],"novel":[98],"framework":[99],"named":[100],"MIBS":[101,195],"model":[103],"recommend":[108],"next":[109],"items.":[113],"Given":[114],"user's":[116],"sequence,":[118],"is":[121,143,156],"encoded":[122],"via":[123],"aggregating":[124],"item-item":[126],"correlation":[127,161],"matrix":[128,134,162,166],"with":[129,159,174],"latent":[131],"intent":[132],"parameter":[133],"generate":[136],"respective":[138],"representation.":[140],"This":[141],"representation":[142],"later":[144],"fed":[145],"into":[146],"LSTM":[148],"layer":[149],"infer":[151],"sequential":[153],"encoding,":[154],"also":[157],"combined":[158],"and":[163],"produce":[168],"scores.":[170],"top-K":[172],"highest":[176],"scores":[177],"are":[178],"employed":[179],"form":[181],"next-basket":[183,202],"suggestion.":[184],"Comprehensive":[185],"experiments":[186],"three":[188],"publicly-available":[189],"datasets":[190],"demonstrate":[191],"superiority":[193],"compared":[196],"against":[197],"state-of-the-art":[198],"baselines":[199],"task.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
