{"id":"https://openalex.org/W3120557167","doi":"https://doi.org/10.1109/tkde.2021.3050407","title":"Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation","display_name":"Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation","publication_year":2021,"publication_date":"2021-01-13","ids":{"openalex":"https://openalex.org/W3120557167","doi":"https://doi.org/10.1109/tkde.2021.3050407","mag":"3120557167"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3050407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3050407","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.00752","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101805443","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0003-3911-8711"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Chen","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440920","display_name":"Dongsheng Li","orcid":"https://orcid.org/0000-0003-3103-8442"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Li","raw_affiliation_strings":["Microsoft Research Asia, Shanghai, China","School of Computer Science, Fudan University, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Shanghai, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087158377","display_name":"Junchi Yan","orcid":"https://orcid.org/0000-0001-9639-7679"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junchi Yan","raw_affiliation_strings":["Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019708391","display_name":"Xiaokang Yang","orcid":"https://orcid.org/0000-0003-4029-3322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Yang","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101805443"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":5.1094,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95433108,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"11","first_page":"5446","last_page":"5458"},"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":0.998199999332428,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8587781190872192},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5493344068527222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5391744375228882},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.510445237159729},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4731998145580292},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.47261691093444824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44354912638664246},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38413575291633606},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3359152376651764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8587781190872192},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5493344068527222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5391744375228882},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.510445237159729},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4731998145580292},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.47261691093444824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44354912638664246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38413575291633606},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3359152376651764},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","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":2,"locations":[{"id":"doi:10.1109/tkde.2021.3050407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3050407","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"},{"id":"pmh:oai:arXiv.org:2204.00752","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.00752","pdf_url":"https://arxiv.org/pdf/2204.00752","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2204.00752","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.00752","pdf_url":"https://arxiv.org/pdf/2204.00752","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1978429096","display_name":null,"funder_award_id":"U19B2035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3359817731","display_name":null,"funder_award_id":"61972250","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W21207210","https://openalex.org/W224506242","https://openalex.org/W854541894","https://openalex.org/W1720514416","https://openalex.org/W1788180225","https://openalex.org/W1965688895","https://openalex.org/W1976618413","https://openalex.org/W1985854669","https://openalex.org/W1992270714","https://openalex.org/W1994389483","https://openalex.org/W2005876975","https://openalex.org/W2017107296","https://openalex.org/W2054141820","https://openalex.org/W2064675550","https://openalex.org/W2080320419","https://openalex.org/W2085040216","https://openalex.org/W2094286023","https://openalex.org/W2095705004","https://openalex.org/W2099866409","https://openalex.org/W2100235918","https://openalex.org/W2101409192","https://openalex.org/W2117420919","https://openalex.org/W2136891251","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2140942692","https://openalex.org/W2143995004","https://openalex.org/W2157331557","https://openalex.org/W2169661502","https://openalex.org/W2171279286","https://openalex.org/W2171960770","https://openalex.org/W2318991869","https://openalex.org/W2340502990","https://openalex.org/W2405923393","https://openalex.org/W2423557781","https://openalex.org/W2474909202","https://openalex.org/W2574897237","https://openalex.org/W2583674722","https://openalex.org/W2604662567","https://openalex.org/W2604772719","https://openalex.org/W2605350416","https://openalex.org/W2640408555","https://openalex.org/W2783944588","https://openalex.org/W2793768763","https://openalex.org/W2798385737","https://openalex.org/W2808310571","https://openalex.org/W2809291355","https://openalex.org/W2892636108","https://openalex.org/W2942947041","https://openalex.org/W2951001079","https://openalex.org/W2951008357","https://openalex.org/W2951645301","https://openalex.org/W2963323306","https://openalex.org/W2963363076","https://openalex.org/W2963367478","https://openalex.org/W2963403868","https://openalex.org/W2963636093","https://openalex.org/W2964121744","https://openalex.org/W2964296635","https://openalex.org/W2966483207","https://openalex.org/W3098649723","https://openalex.org/W3100199015","https://openalex.org/W3104030692","https://openalex.org/W3143596294","https://openalex.org/W4297971002","https://openalex.org/W4303633609","https://openalex.org/W6600849345","https://openalex.org/W6623517193","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6638318767","https://openalex.org/W6674330103","https://openalex.org/W6680012447","https://openalex.org/W6680451568","https://openalex.org/W6680830989","https://openalex.org/W6682218280","https://openalex.org/W6684754188","https://openalex.org/W6684821475","https://openalex.org/W6692935382","https://openalex.org/W6703949738","https://openalex.org/W6713979495","https://openalex.org/W6714585510","https://openalex.org/W6730146330","https://openalex.org/W6732288984","https://openalex.org/W6732742072","https://openalex.org/W6739901393","https://openalex.org/W6743635647"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W1657011257","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W2342498029"],"abstract_inverted_index":{"Capturing":[0],"the":[1,48,64,73,92,151,167,172,177,192],"dynamics":[2,36],"in":[3],"user":[4,11,15,39,77,120,178],"preference":[5,179],"is":[6],"crucial":[7],"to":[8,56,84,153],"better":[9],"predict":[10],"future":[12],"behaviors":[13],"because":[14],"preferences":[16,43,122,158],"often":[17,33],"drift":[18],"over":[19,181],"time.":[20],"Many":[21],"existing":[22],"recommendation":[23,94,206],"algorithms":[24],"\u2013":[25,32],"including":[26],"both":[27],"shallow":[28],"and":[29,41,126,183,203],"deep":[30,136],"ones":[31],"model":[34,138],"such":[35],"independently,":[37],"i.e.,":[38],"static":[40],"dynamic":[42,121,157],"are":[44],"not":[45],"modeled":[46],"under":[47],"same":[49],"latent":[50,74],"space,":[51],"which":[52,101,114,145],"makes":[53],"it":[54],"difficult":[55],"fuse":[57],"them":[58],"for":[59],"recommendation.":[60],"This":[61],"paper":[62],"considers":[63],"problem":[65],"of":[66,76,113,119,150],"embedding":[67],"a":[68,97,104,116,128,135,155],"user's":[69,156],"sequential":[70,93,205],"behavior":[71],"into":[72],"space":[75],"preferences,":[78],"namely":[79],"<italic":[80,106,129],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[81,107,130],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">translating":[82],"sequence":[83],"preference</i>":[85],".":[86],"To":[87],"this":[88],"end,":[89],"we":[90],"formulate":[91],"task":[95],"as":[96],"dictionary":[98,152],"learning":[99],"problem,":[100],"learns:":[102],"1)":[103],"shared":[105,123],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">dictionary":[108],"matrix</i>":[109],",":[110],"each":[111],"row":[112],"represents":[115],"partial":[117],"signal":[118],"across":[124],"users;":[125],"2)":[127],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">posterior":[131],"distribution":[132],"estimator</i>":[133],"using":[134],"autoregressive":[137],"integrated":[139],"with":[140,200],"Gated":[141],"Recurrent":[142],"Unit":[143],"(GRU),":[144],"can":[146,175,195],"select":[147],"related":[148],"rows":[149],"represent":[154],"conditioned":[159],"on":[160,166,186],"his/her":[161],"past":[162],"behaviors.":[163],"Qualitative":[164],"studies":[165,185],"Netflix":[168],"dataset":[169],"demonstrate":[170,190],"that":[171,191],"proposed":[173,193],"method":[174,194],"capture":[176],"drifts":[180],"time":[182],"quantitative":[184],"multiple":[187],"real-world":[188],"datasets":[189],"achieve":[196],"higher":[197],"accuracy":[198],"compared":[199],"state-of-the-art":[201],"factorization":[202],"neural":[204],"methods.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-01-18T00:00:00"}