{"id":"https://openalex.org/W4388985274","doi":"https://doi.org/10.1108/imds-05-2023-0298","title":"A novel virtual-communicated\u00a0evolution learning recommendation","display_name":"A novel virtual-communicated\u00a0evolution learning recommendation","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4388985274","doi":"https://doi.org/10.1108/imds-05-2023-0298"},"language":"en","primary_location":{"id":"doi:10.1108/imds-05-2023-0298","is_oa":false,"landing_page_url":"https://doi.org/10.1108/imds-05-2023-0298","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management & Data Systems","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/A5033316100","display_name":"Yi-Cheng Chen","orcid":"https://orcid.org/0000-0001-7153-0410"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yi-Cheng Chen","raw_affiliation_strings":["Department of Information Management, National Central University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059627035","display_name":"Yen\u2010Liang Chen","orcid":"https://orcid.org/0000-0002-0121-5658"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Liang Chen","raw_affiliation_strings":["Department of Information Management, National Central University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033316100"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":1.8327,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88947224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"124","issue":"1","first_page":"416","last_page":"441"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9409000277519226,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.9369000196456909,"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":0.8062880039215088},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7722408771514893},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.646092414855957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5311649441719055},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5247012376785278},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4935082197189331},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47991928458213806},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3631311058998108},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3194851577281952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8062880039215088},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7722408771514893},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.646092414855957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5311649441719055},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5247012376785278},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4935082197189331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47991928458213806},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3631311058998108},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3194851577281952},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/imds-05-2023-0298","is_oa":false,"landing_page_url":"https://doi.org/10.1108/imds-05-2023-0298","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management & Data Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1500188831","https://openalex.org/W1980147176","https://openalex.org/W2033714695","https://openalex.org/W2054141820","https://openalex.org/W2108433027","https://openalex.org/W2119523409","https://openalex.org/W2135029798","https://openalex.org/W2137245235","https://openalex.org/W2182342230","https://openalex.org/W2236550495","https://openalex.org/W2340502990","https://openalex.org/W2501711337","https://openalex.org/W2604944200","https://openalex.org/W2741249253","https://openalex.org/W2752143417","https://openalex.org/W2786257066","https://openalex.org/W2786714170","https://openalex.org/W2788172561","https://openalex.org/W2792883393","https://openalex.org/W2805802881","https://openalex.org/W2890097133","https://openalex.org/W2892797508","https://openalex.org/W2899291427","https://openalex.org/W2907122279","https://openalex.org/W2907614510","https://openalex.org/W2907800194","https://openalex.org/W2967005398","https://openalex.org/W2970704468","https://openalex.org/W2988426711","https://openalex.org/W3012960460","https://openalex.org/W3014683405","https://openalex.org/W3028108055","https://openalex.org/W3042508749","https://openalex.org/W3048756109","https://openalex.org/W3072818879","https://openalex.org/W3087954142","https://openalex.org/W3107156647","https://openalex.org/W3128193561","https://openalex.org/W3134166307","https://openalex.org/W3155479293","https://openalex.org/W3208959739","https://openalex.org/W4205142581","https://openalex.org/W4367597510","https://openalex.org/W4390422015"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W2418190244","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W1657011257"],"abstract_inverted_index":{"Purpose":[0],"In":[1,241],"this":[2,29],"\u201cInfo-plosion\u201d":[3],"era,":[4],"recommendation":[5,50,54,263],"systems":[6],"(or":[7],"recommenders)":[8],"play":[9],"a":[10,104,151,168,196],"significant":[11],"role":[12],"in":[13,17,138,222,273],"finding":[14],"interesting":[15],"items":[16,40,190,221],"the":[18,71,74,86,117,122,128,131,139,148,160,172,185,193,206,214,226,238,261],"surge":[19],"of":[20,28,88,124,133,142,163,218],"online":[21],"digital":[22],"activity":[23],"and":[24,78,135,178,189,204,210,220,251,271,280],"e-commerce.":[25],"The":[26,265],"purpose":[27],"paper":[30],"is":[31,56,99,155],"to":[32,37,58,83,101,113,157,201,234],"model":[33,229],"users'":[34],"preference":[35],"evolution":[36,145,161],"recommend":[38,179],"potential":[39],"which":[41],"users":[42,188,209,219,236],"may":[43],"be":[44],"interested":[45],"in.":[46],"Design/methodology/approach":[47],"A":[48,94],"novel":[49,95,197],"system,":[51],"namely":[52],"evolution-learning":[53],"(ELR),":[55],"developed":[57,156],"precisely":[59],"predict":[60,174],"user":[61,89,110,164,176],"interest":[62],"for":[63,107,144,191],"making":[64],"recommendations.":[65],"Differing":[66],"from":[67],"prior":[68,262],"related":[69,180],"methods,":[70,116],"authors":[72,129,173,194],"integrate":[73],"matrix":[75,106],"factorization":[76,97],"(MF)":[77],"recurrent":[79],"neural":[80],"network":[81],"(RNN)":[82],"effectively":[84,202],"describe":[85],"variation":[87],"preferences":[90,177],"over":[91],"time.":[92,240],"Findings":[93],"cumulative":[96,118],"technique":[98],"proposed":[100,227,266],"efficiently":[102],"decompose":[103],"rating":[105],"discovering":[108],"latent":[109,216],"preferences.":[111],"Compared":[112],"traditional":[114],"MF-based":[115],"MF":[119],"could":[120,230],"reduce":[121],"utilization":[123],"computation":[125],"resources.":[126],"Furthermore,":[127],"depict":[130],"significance":[132],"long-":[134],"short-term":[136],"effects":[137],"memory":[140],"cell":[141],"RNN":[143],"patterns.":[146],"With":[147],"context":[149],"awareness,":[150],"learning":[152,170],"model,":[153,171],"V-LSTM,":[154],"dynamically":[158],"capture":[159],"pattern":[162],"interests.":[165],"By":[166,212],"using":[167],"well-trained":[169],"future":[175],"items.":[181,211],"Originality/value":[182],"Based":[183],"on":[184,248],"relations":[186],"among":[187,208],"recommendation,":[192],"introduce":[195],"concept,":[198],"virtual":[199],"communication,":[200],"learn":[203],"estimate":[205],"correlation":[207],"incorporating":[213],"discovered":[215],"features":[217],"an":[223],"evolved":[224],"manner,":[225],"ELR":[228,258,267],"promote":[231],"\u201cright\u201d":[232,235,239],"things":[233],"at":[237],"addition,":[242],"several":[243],"extensive":[244],"experiments":[245],"are":[246,252],"performed":[247],"real":[249,274],"datasets":[250],"discussed.":[253],"Empirical":[254],"results":[255],"show":[256],"that":[257],"significantly":[259],"outperforms":[260],"models.":[264],"exhibits":[268],"great":[269],"generalization":[270],"robustness":[272],"datasets,":[275],"including":[276],"e-commerce,":[277],"industrial":[278],"retail":[279],"streaming":[281],"service,":[282],"with":[283],"all":[284],"discussed":[285],"metrics.":[286]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}