{"id":"https://openalex.org/W3011313466","doi":"https://doi.org/10.1109/tkde.2020.2980517","title":"Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation","display_name":"Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation","publication_year":2020,"publication_date":"2020-03-13","ids":{"openalex":"https://openalex.org/W3011313466","doi":"https://doi.org/10.1109/tkde.2020.2980517","mag":"3011313466"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2980517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2980517","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5074603286","display_name":"Xiaolin Zheng","orcid":"https://orcid.org/0000-0001-5483-0366"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolin Zheng","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618022","display_name":"Menghan Wang","orcid":"https://orcid.org/0000-0003-0682-5866"},"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":"Menghan Wang","raw_affiliation_strings":["Alibaba Group, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023754227","display_name":"Renjun Xu","orcid":"https://orcid.org/0000-0002-7566-7948"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renjun Xu","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017354404","display_name":"Jianmeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmeng Li","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322712","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-5344-1884"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074603286"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.4022,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90966646,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"1","first_page":"405","last_page":"418"},"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":0.9965000152587891,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9768000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.787994921207428},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5920469164848328},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38974297046661377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34762686491012573},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3289797902107239},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29520970582962036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.787994921207428},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5920469164848328},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38974297046661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34762686491012573},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3289797902107239},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29520970582962036}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.2980517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2980517","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4300000071525574,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G185699851","display_name":null,"funder_award_id":"U1509221","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7715753593","display_name":null,"funder_award_id":"2018YFB1403001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1886704267","https://openalex.org/W1966626570","https://openalex.org/W1985854669","https://openalex.org/W1991418309","https://openalex.org/W2008886893","https://openalex.org/W2018795431","https://openalex.org/W2020631728","https://openalex.org/W2076618452","https://openalex.org/W2080320419","https://openalex.org/W2085040216","https://openalex.org/W2114281505","https://openalex.org/W2124187902","https://openalex.org/W2146456494","https://openalex.org/W2157519573","https://openalex.org/W2157881433","https://openalex.org/W2171279286","https://openalex.org/W2318991869","https://openalex.org/W2402457424","https://openalex.org/W2474909202","https://openalex.org/W2480680997","https://openalex.org/W2539781657","https://openalex.org/W2583674722","https://openalex.org/W2594223320","https://openalex.org/W2629213068","https://openalex.org/W2725279637","https://openalex.org/W2726499916","https://openalex.org/W2772157149","https://openalex.org/W2782696945","https://openalex.org/W2892868562","https://openalex.org/W2892888989","https://openalex.org/W2964296635","https://openalex.org/W2964352502","https://openalex.org/W3103310105","https://openalex.org/W3147409906","https://openalex.org/W4245655784","https://openalex.org/W4302423442","https://openalex.org/W6632185740","https://openalex.org/W6638824847","https://openalex.org/W6676727762","https://openalex.org/W6680451568","https://openalex.org/W6680629180","https://openalex.org/W6680830989","https://openalex.org/W6684745505","https://openalex.org/W6684754188","https://openalex.org/W6695055480","https://openalex.org/W6713052232","https://openalex.org/W6743635647","https://openalex.org/W6754470228"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472"],"abstract_inverted_index":{"Implicit":[0],"feedback":[1,18],"is":[2,13,38,70,187],"widely":[3],"used":[4],"in":[5,96,182],"collaborative":[6],"filtering":[7],"methods":[8],"for":[9,165],"sequential":[10],"recommendation.":[11,166],"It":[12],"well":[14],"known":[15],"that":[16,25,186],"implicit":[17],"contains":[19],"a":[20,39,61,73,80,122,141,148,183,209],"large":[21],"number":[22],"of":[23,41,82,118,137,178,194,205,215,228],"values":[24],"are":[26],"<italic":[27,57,127,216],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[28,58,128,217],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">missing":[29],"not":[30],"at":[31],"random</i>":[32],"(MNAR);":[33],"and":[34,43,92,114,140,158,197,212],"the":[35,94,116,134,154,170,175,226],"missing":[36,78],"data":[37],"mixture":[40],"negative":[42,52,84],"unknown":[44],"feedback,":[45],"making":[46],"it":[47,160],"difficult":[48],"to":[49,72,75,103,109,132,145,173,189,207],"learn":[50],"users\u2019":[51],"preferences.":[53],"Recent":[54],"studies":[55,88],"modeled":[56],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">exposure</i>":[59],",":[60],"latent":[62,123],"missingness":[63,157],"variable":[64,124],"which":[65,101,180],"indicates":[66],"whether":[67],"an":[68,105],"item":[69,138,156],"exposed":[71],"user,":[74],"give":[76],"each":[77],"entry":[79],"confidence":[81],"being":[83],"feedback.":[85],"However,":[86],"these":[87],"use":[89],"static":[90],"models":[91],"ignore":[93],"information":[95],"temporal":[97,135],"dependencies":[98],"among":[99],"items,":[100],"seems":[102],"be":[104],"essential":[106],"underlying":[107],"factor":[108],"subsequent":[110],"missingness.":[111],"To":[112],"model":[113,144,190],"exploit":[115],"dynamics":[117],"missingness,":[119,139],"we":[120],"propose":[121],"named":[125],"\u201c":[126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">user":[129,218],"intent</i>":[130],"\u201d":[131],"govern":[133],"changes":[136],"hidden":[142],"Markov":[143],"represent":[146],"such":[147],"process.":[149],"The":[150],"resulting":[151],"framework":[152,172,185],"captures":[153],"dynamic":[155,176],"incorporates":[159],"into":[161],"matrix":[162],"factorization":[163],"(MF)":[164],"We":[167,200],"further":[168],"extend":[169],"proposed":[171],"capture":[174],"preference":[177],"users,":[179],"results":[181],"unified":[184],"able":[188],"different":[191],"evolution":[192],"patterns":[193],"user":[195,198],"intent":[196],"preference.":[199],"also":[201],"explore":[202],"two":[203],"types":[204],"constraints":[206],"achieve":[208],"more":[210],"compact":[211],"interpretable":[213],"representation":[214],"intents</i>":[219],".":[220],"Experiments":[221],"on":[222],"real-world":[223],"datasets":[224],"demonstrate":[225],"superiority":[227],"our":[229],"method":[230],"against":[231],"state-of-the-art":[232],"recommender":[233],"systems.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
