{"id":"https://openalex.org/W4309009572","doi":"https://doi.org/10.3390/e24111639","title":"Time-Aware Explainable Recommendation via Updating Enabled Online Prediction","display_name":"Time-Aware Explainable Recommendation via Updating Enabled Online Prediction","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4309009572","doi":"https://doi.org/10.3390/e24111639","pmid":"https://pubmed.ncbi.nlm.nih.gov/36421494"},"language":"en","primary_location":{"id":"doi:10.3390/e24111639","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24111639","pdf_url":"https://www.mdpi.com/1099-4300/24/11/1639/pdf?version=1668740352","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/11/1639/pdf?version=1668740352","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074831549","display_name":"Tianming Jiang","orcid":"https://orcid.org/0000-0003-3606-9117"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianming Jiang","raw_affiliation_strings":["School of Information Management, Central China Normal University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0003-3606-9117","affiliations":[{"raw_affiliation_string":"School of Information Management, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042460236","display_name":"Jiangfeng Zeng","orcid":"https://orcid.org/0000-0002-8270-0611"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangfeng Zeng","raw_affiliation_strings":["School of Information Management, Central China Normal University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0002-8270-0611","affiliations":[{"raw_affiliation_string":"School of Information Management, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074831549"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.3186,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64419571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"24","issue":"11","first_page":"1639","last_page":"1639"},"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/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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9972000122070312,"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":0.8699687719345093},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7599373459815979},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5321670770645142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4566967785358429},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4218560457229614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41787081956863403}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8699687719345093},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7599373459815979},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5321670770645142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4566967785358429},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4218560457229614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41787081956863403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24111639","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24111639","pdf_url":"https://www.mdpi.com/1099-4300/24/11/1639/pdf?version=1668740352","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:36421494","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36421494","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:82476ea64d7441149e8bb973175885dc","is_oa":true,"landing_page_url":"https://doaj.org/article/82476ea64d7441149e8bb973175885dc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 11, p 1639 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/11/1639/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24111639","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 24; Issue 11; Pages: 1639","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9689638","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9689638","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24111639","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24111639","pdf_url":"https://www.mdpi.com/1099-4300/24/11/1639/pdf?version=1668740352","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4044249475","display_name":null,"funder_award_id":"2021M701367","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5353022108","display_name":null,"funder_award_id":"CCNU21XJ020","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6675703576","display_name":null,"funder_award_id":"CCNU22QN016","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309009572.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2109964623","https://openalex.org/W2127795553","https://openalex.org/W2143386621","https://openalex.org/W2154851992","https://openalex.org/W2519084221","https://openalex.org/W2572147858","https://openalex.org/W2605350416","https://openalex.org/W2801992635","https://openalex.org/W2807942528","https://openalex.org/W2889344053","https://openalex.org/W2893775232","https://openalex.org/W2950275995","https://openalex.org/W2962756421","https://openalex.org/W2966349618","https://openalex.org/W2986428765","https://openalex.org/W2997134905","https://openalex.org/W3001189243","https://openalex.org/W3036891019","https://openalex.org/W3044392380","https://openalex.org/W3088444111","https://openalex.org/W3091993229","https://openalex.org/W3094127838","https://openalex.org/W3104097132","https://openalex.org/W3113595157","https://openalex.org/W3138453773","https://openalex.org/W3161216120","https://openalex.org/W4210334834","https://openalex.org/W4223417724","https://openalex.org/W4224319674","https://openalex.org/W4226484343","https://openalex.org/W4283587264","https://openalex.org/W4297971002","https://openalex.org/W6678830454","https://openalex.org/W6731801563"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W3107602296","https://openalex.org/W4312192474","https://openalex.org/W4210805261","https://openalex.org/W4387297750"],"abstract_inverted_index":{"There":[0,47],"has":[1],"been":[2],"growing":[3],"attention":[4],"on":[5,147],"explainable":[6,116],"recommendation":[7,179],"that":[8,66],"is":[9,77],"able":[10],"to":[11,125,136,151],"provide":[12],"high-quality":[13],"results":[14,169],"as":[15,17],"well":[16],"intuitive":[18],"explanations.":[19],"However,":[20],"most":[21],"existing":[22],"studies":[23],"use":[24],"offline":[25],"prediction":[26,111,123],"strategies":[27,135],"where":[28,94],"recommender":[29],"systems":[30],"are":[31,48,86],"trained":[32],"once":[33],"while":[34],"used":[35],"forever,":[36],"which":[37],"ignores":[38],"the":[39,73,80,95,114,127,138,153,161,175,183,187],"dynamic":[40,81],"and":[41,131,170,186],"evolving":[42],"nature":[43],"of":[44,75,83,155,178],"user-item":[45],"interactions.":[46],"two":[49,132],"main":[50],"issues":[51],"with":[52,100,160],"these":[53],"methods.":[54,158],"First,":[55],"their":[56],"random":[57],"dataset":[58],"split":[59],"setting":[60],"will":[61],"result":[62],"in":[63,89],"data":[64,128],"leakage":[65,129],"knowledge":[67],"should":[68],"not":[69],"be":[70],"known":[71],"at":[72],"time":[74],"training":[76],"utilized.":[78],"Second,":[79],"characteristics":[82],"user":[84],"preferences":[85],"overlooked,":[87],"resulting":[88],"a":[90],"model":[91,139],"aging":[92,140],"issue":[93,130],"model's":[96],"performance":[97],"degrades":[98],"along":[99],"time.":[101],"In":[102],"this":[103],"paper,":[104],"we":[105,119,143],"propose":[106,120],"an":[107,121],"updating":[108,134],"enabled":[109],"online":[110,122],"framework":[112],"for":[113,174],"time-aware":[115,164],"recommendation.":[117],"Specifically,":[118],"scheme":[124],"eliminate":[126],"novel":[133],"relieve":[137],"issue.":[141],"Moreover,":[142],"conduct":[144],"extensive":[145],"experiments":[146],"four":[148],"real-world":[149],"datasets":[150],"evaluate":[152],"effectiveness":[154],"our":[156,163],"proposed":[157],"Compared":[159],"state-of-the-art,":[162],"approach":[165],"achieves":[166],"higher":[167],"accuracy":[168],"more":[171],"convincing":[172],"explanations":[173],"entire":[176],"lifetime":[177],"systems,":[180],"i.e.,":[181],"both":[182],"initial":[184],"period":[185],"long-term":[188],"usage.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}