{"id":"https://openalex.org/W3156420331","doi":"https://doi.org/10.1109/tnnls.2021.3069058","title":"Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings","display_name":"Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings","publication_year":2021,"publication_date":"2021-04-14","ids":{"openalex":"https://openalex.org/W3156420331","doi":"https://doi.org/10.1109/tnnls.2021.3069058","mag":"3156420331","pmid":"https://pubmed.ncbi.nlm.nih.gov/33852391"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3069058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3069058","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100784844","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0002-1037-1361"},"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"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","Data Science Lab, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1037-1361","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Data Science Lab, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000798681","display_name":"Longbing Cao","orcid":"https://orcid.org/0000-0003-1562-9429"},"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":"Longbing Cao","raw_affiliation_strings":["Data Science Lab, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1562-9429","affiliations":[{"raw_affiliation_string":"Data Science Lab, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003673476","display_name":"Chongyang Shi","orcid":"https://orcid.org/0000-0003-4905-8994"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyang Shi","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4905-8994","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082774439","display_name":"Zhendong Niu","orcid":"https://orcid.org/0000-0002-0576-7572"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhendong Niu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0576-7572","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.7501,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.98677254,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":"10","first_page":"5125","last_page":"5137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9941999912261963,"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":0.9921000003814697,"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/feature","display_name":"Feature (linguistics)","score":0.6950688362121582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6805558800697327},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.6781361103057861},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6356329321861267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.455517441034317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3420056104660034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13620775938034058},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1065061092376709},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09927394986152649}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6950688362121582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6805558800697327},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.6781361103057861},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6356329321861267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.455517441034317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3420056104660034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13620775938034058},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1065061092376709},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09927394986152649},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3069058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3069058","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33852391","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33852391","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2177096475","display_name":"Deep Interaction Learning in Unlabelled Big Data and Complex Systems","funder_award_id":"FT190100734","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G323522862","display_name":null,"funder_award_id":"61672098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3912275054","display_name":null,"funder_award_id":"201806030191","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G4282448130","display_name":"\u57fa\u4e8e\u76d1\u63a7\u4e0e\u53cd\u9988\u7684\u8f6f\u4ef6\u91cd\u6784\u673a\u4f1a\u68c0\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61472034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G560904239","display_name":"\u57fa\u4e8e\u6587\u672c\u76f8\u4f3c\u6027\u7684\u53c2\u6570\u63a8\u8350\u4e0e\u9519\u8bef\u53c2\u6570\u68c0\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6580774635","display_name":null,"funder_award_id":"61502033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G716332117","display_name":"Deep analytics of non-occurring but important behaviours","funder_award_id":"DP190101079","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G8578484010","display_name":null,"funder_award_id":"2018YFB1003903","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8855823911","display_name":"\u9762\u5411Web\u6587\u672c\u7684\u5c5e\u6027\u548c\u5c5e\u6027\u503c\u77e5\u8bc6\u83b7\u53d6\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61272361","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"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2013619732","https://openalex.org/W2016053056","https://openalex.org/W2080320419","https://openalex.org/W2094286023","https://openalex.org/W2154789382","https://openalex.org/W2171279286","https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2479734128","https://openalex.org/W2515144511","https://openalex.org/W2567312369","https://openalex.org/W2583674722","https://openalex.org/W2604662567","https://openalex.org/W2773640334","https://openalex.org/W2783272285","https://openalex.org/W2783777501","https://openalex.org/W2783944588","https://openalex.org/W2786995169","https://openalex.org/W2788997749","https://openalex.org/W2798734012","https://openalex.org/W2798853084","https://openalex.org/W2808391139","https://openalex.org/W2808490894","https://openalex.org/W2899457523","https://openalex.org/W2900841426","https://openalex.org/W2903803738","https://openalex.org/W2907285595","https://openalex.org/W2907607062","https://openalex.org/W2913189099","https://openalex.org/W2913258827","https://openalex.org/W2947374734","https://openalex.org/W2963323306","https://openalex.org/W2963367478","https://openalex.org/W2963900085","https://openalex.org/W2964044287","https://openalex.org/W2964052347","https://openalex.org/W2964182926","https://openalex.org/W2964258748","https://openalex.org/W2964296635","https://openalex.org/W2965744319","https://openalex.org/W2973224900","https://openalex.org/W3031331881","https://openalex.org/W3035170973","https://openalex.org/W3035178789","https://openalex.org/W3043922872","https://openalex.org/W3099237846","https://openalex.org/W3100480425","https://openalex.org/W3100921056","https://openalex.org/W3101707147","https://openalex.org/W4297971002","https://openalex.org/W6631190155","https://openalex.org/W6713052232","https://openalex.org/W6732193342","https://openalex.org/W6737778391","https://openalex.org/W6739901393","https://openalex.org/W6755038352","https://openalex.org/W7066141858"],"related_works":["https://openalex.org/W2090624569","https://openalex.org/W4252225730","https://openalex.org/W4381329258","https://openalex.org/W3147584709","https://openalex.org/W2090638348","https://openalex.org/W2181148280","https://openalex.org/W2891635047","https://openalex.org/W2368374794","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0,173],"recommendation,":[1],"both":[2],"stationary":[3,125],"and":[4,17,46,49,63,98,101,104,133,157,199,222,245,249,256,263],"dynamic":[5],"user":[6,45,51,84,91,107,126,135,214,266],"preferences":[7,127],"on":[8,53,69,106,234],"items":[9,18,54,221],"are":[10],"embedded":[11],"in":[12,38,261],"the":[13,41,44,66,148,161,174,205,218,226,229,247],"interactions":[14,37,77],"between":[15,43,151],"users":[16],"(e.g.,":[19],"rating":[20],"or":[21,87],"clicking)":[22],"within":[23],"their":[24,102,165],"contexts.":[25],"Sequential":[26],"recommender":[27],"systems":[28],"(SRSs)":[29],"need":[30],"to":[31,121,186],"jointly":[32,122],"involve":[33],"such":[34,58],"context-aware":[35],"user-item":[36,76],"terms":[39],"of":[40,154,164,220,228,251],"couplings":[42,150,260],"item":[47],"features":[48,97,153],"sequential":[50,90,189],"actions":[52,215],"over":[55],"time.":[56],"However,":[57],"joint":[59],"modeling":[60,262],"is":[61],"non-trivial":[62],"significantly":[64],"challenges":[65],"existing":[67],"work":[68],"preference":[70,85,136,206,254],"modeling,":[71],"which":[72],"either":[73],"only":[74,88],"models":[75,81],"by":[78,128,138,160,216],"latent":[79],"factorization":[80],"but":[82],"ignores":[83],"dynamics":[86,137,255],"captures":[89],"action":[92,211],"patterns":[93],"without":[94],"involving":[95,252],"user/item":[96,258],"context":[99,120,159,224],"factors":[100],"coupling":[103],"influence":[105],"actions.":[108],"We":[109],"propose":[110],"a":[111,118,129,139,179,208],"neural":[112],"time-aware":[113,253],"recommendation":[114],"network":[115,132,146],"(TARN)":[116],"with":[117,182],"temporal":[119,158,210,223],"model":[123],"1)":[124],"feature":[130,144,166,201,259],"interaction":[131,145],"2)":[134],"tailored":[140],"convolutional":[141,175,180,230],"network.":[142,231],"The":[143,232],"factorizes":[147],"pairwise":[149],"non-zero":[152],"users,":[155],"items,":[156],"inner":[162],"product":[163],"embeddings":[167,219],"while":[168],"alleviating":[169],"data":[170,237],"sparsity":[171],"issues.":[172],"network,":[176],"we":[177],"introduce":[178],"layer":[181],"multiple":[183],"filter":[184],"widths":[185],"capture":[187],"multi-fold":[188],"patterns,":[190],"where":[191],"an":[192],"attentive":[193],"average":[194],"pooling":[195],"(AAP)":[196],"obtains":[197],"significant":[198],"large-span":[200],"combinations.":[202],"To":[203],"learn":[204],"dynamics,":[207],"novel":[209],"embedding":[212],"represents":[213],"incorporating":[217],"as":[225],"inputs":[227],"experiments":[233],"typical":[235],"public":[236],"sets":[238],"demonstrate":[239],"that":[240],"TARN":[241],"outperforms":[242],"state-of-the-art":[243],"methods":[244],"show":[246],"necessity":[248],"contribution":[250],"explicit":[257],"interpreting":[264],"evolving":[265],"preferences.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":14}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}