{"id":"https://openalex.org/W4413355624","doi":"https://doi.org/10.1007/s44163-025-00472-w","title":"Dynamic prediction and recommendation of museum visitors' interest based on long short-term memory network (LSTM)","display_name":"Dynamic prediction and recommendation of museum visitors' interest based on long short-term memory network (LSTM)","publication_year":2025,"publication_date":"2025-08-20","ids":{"openalex":"https://openalex.org/W4413355624","doi":"https://doi.org/10.1007/s44163-025-00472-w"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00472-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00472-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00472-w.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00472-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112106354","display_name":"Sha Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sha Nie","raw_affiliation_strings":["International Institute of Creative Design, Shanghai University of Engineering Science, Shanghai, 201600, China"],"affiliations":[{"raw_affiliation_string":"International Institute of Creative Design, Shanghai University of Engineering Science, Shanghai, 201600, China","institution_ids":["https://openalex.org/I11406153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112106354"],"corresponding_institution_ids":["https://openalex.org/I11406153"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":2.9113,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91505417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.972599983215332,"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/T10055","display_name":"Diverse Aspects of Tourism Research","score":0.9614999890327454,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.836228609085083},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6489116549491882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6134093403816223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5099085569381714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36763274669647217},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.24480915069580078},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23518455028533936}],"concepts":[{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.836228609085083},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6489116549491882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6134093403816223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5099085569381714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36763274669647217},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.24480915069580078},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23518455028533936},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00472-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00472-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00472-w.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a5ac89a52f314f468c1ca99524f9e0d3","is_oa":true,"landing_page_url":"https://doaj.org/article/a5ac89a52f314f468c1ca99524f9e0d3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-22 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00472-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00472-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00472-w.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413355624.pdf","grobid_xml":"https://content.openalex.org/works/W4413355624.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W3158333870","https://openalex.org/W3211545406","https://openalex.org/W4205621979","https://openalex.org/W4281392394","https://openalex.org/W4294219238","https://openalex.org/W4303699471","https://openalex.org/W4318269837","https://openalex.org/W4379051584","https://openalex.org/W4379112865","https://openalex.org/W4388104704","https://openalex.org/W4396873155","https://openalex.org/W4403493898","https://openalex.org/W4405073604","https://openalex.org/W4406015697","https://openalex.org/W4406552990","https://openalex.org/W4407189631","https://openalex.org/W4409727841","https://openalex.org/W4410037884"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"the":[1,31,87,106,150,220],"era":[2],"of":[3,36,90,110,222],"personalized":[4,147],"digital":[5],"experiences,":[6],"enhancing":[7,247],"visitor":[8,161,233,248],"engagement":[9,144],"in":[10,175,184,230],"museums":[11],"through":[12,253],"intelligent,":[13],"adaptive":[14,167],"recommendation":[15,24,240],"systems":[16,25],"has":[17],"become":[18],"a":[19,43,68,76,99,111,132,172,181,237],"critical":[20],"need.":[21],"Traditional":[22],"museum":[23,91,151,245],"often":[26],"fail":[27],"to":[28,56,83,121],"account":[29],"for":[30,72,201,206,242],"dynamic":[32,100,224],"and":[33,59,85,118,124,143,166,180,204,214,227,244,250],"evolving":[34,88,232],"nature":[35],"visitors'":[37],"interests,":[38],"which":[39],"may":[40],"shift":[41],"during":[42],"single":[44],"visit":[45,176,202],"or":[46],"across":[47],"multiple":[48],"visits.":[49],"Hence,":[50],"personalized,":[51],"time-aware":[52],"models":[53,191],"that":[54,135],"adapt":[55],"changing":[57],"behaviors":[58],"deliver":[60],"contextually":[61],"relevant":[62],"recommendations":[63],"are":[64],"demanded.":[65],"For":[66],"this,":[67],"Dynamic":[69],"Attention-based":[70],"LSTM":[71,95],"Interest":[73],"Recommendation":[74],"(DALIR),":[75],"sequential":[77,137],"deep":[78],"learning":[79],"framework,":[80],"is":[81,129],"designed":[82],"model":[84,128],"predict":[86],"preferences":[89],"visitors.":[92],"Using":[93],"an":[94],"architecture":[96],"enhanced":[97],"with":[98],"attention":[101,225],"module,":[102],"DALIR":[103,153,170,196,235],"focuses":[104],"on":[105,131,159],"most":[107],"influential":[108],"aspects":[109],"visitor's":[112],"behavior,":[113],"such":[114],"as":[115],"dwell":[116,185,207],"time":[117,186],"exhibit":[119],"sequence,":[120],"generate":[122],"accurate":[123],"timely":[125],"recommendations.":[126],"The":[127],"trained":[130],"rich":[133],"dataset":[134],"captures":[136],"interaction":[138],"patterns,":[139],"including":[140],"spatial":[141],"transitions":[142],"intensity,":[145],"enabling":[146],"guidance":[148],"throughout":[149],"experience.":[152],"dynamically":[154],"updates":[155],"its":[156],"predictions":[157],"based":[158],"recent":[160],"actions,":[162],"ensuring":[163],"contextual":[164],"relevance":[165],"content":[168,251],"delivery.":[169],"achieves":[171],"15.9%":[173],"improvement":[174,183],"sequence":[177],"prediction":[178,187],"accuracy":[179,188],"16.6%":[182],"over":[189],"baseline":[190],"(TMSNN,":[192],"GCN,":[193],"LDA-LSTM).":[194],"Additionally,":[195],"enhances":[197],"precision":[198],"by":[199,212],"18%":[200],"sequences":[203],"11%":[205],"times,":[208],"while":[209],"improving":[210],"recall":[211],"16.7%":[213],"9.9%,":[215],"respectively.":[216],"These":[217],"results":[218],"demonstrate":[219],"effectiveness":[221],"DALIR\u2019s":[223],"mechanism":[226],"sequence-adaptive":[228],"modeling":[229],"capturing":[231],"interests.":[234],"provides":[236],"scalable,":[238],"intelligent":[239],"solution":[241],"curators":[243],"platforms,":[246],"satisfaction":[249],"discovery":[252],"interest-driven":[254],"experiences.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}