{"id":"https://openalex.org/W4416955504","doi":"https://doi.org/10.1007/s10791-025-09792-y","title":"A deep-neural associative touristic experience recommendation approach with real-time context injection","display_name":"A deep-neural associative touristic experience recommendation approach with real-time context injection","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4416955504","doi":"https://doi.org/10.1007/s10791-025-09792-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10791-025-09792-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09792-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09792-y.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09792-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078263979","display_name":"Maryam Kamal","orcid":"https://orcid.org/0000-0002-0981-4356"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Maryam Kamal","raw_affiliation_strings":["Department of Computer, Control and Management Engineering (DIAG), Sapienza University of Rome, Via Ariosto 25, 00185, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering (DIAG), Sapienza University of Rome, Via Ariosto 25, 00185, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038813420","display_name":"Ioannis Chatzigiannakis","orcid":"https://orcid.org/0000-0001-8955-9270"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ioannis Chatzigiannakis","raw_affiliation_strings":["Department of Computer, Control and Management Engineering (DIAG), Sapienza University of Rome, Via Ariosto 25, 00185, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering (DIAG), Sapienza University of Rome, Via Ariosto 25, 00185, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078263979"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51675256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.45719999074935913,"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":0.45719999074935913,"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":0.10220000147819519,"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/T12128","display_name":"AI in Service Interactions","score":0.09019999951124191,"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/recommender-system","display_name":"Recommender system","score":0.7509999871253967},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.7067999839782715},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6636000275611877},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5324000120162964},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4961000084877014},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.420199990272522},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3984000086784363},{"id":"https://openalex.org/keywords/contextual-design","display_name":"Contextual design","score":0.3840999901294708},{"id":"https://openalex.org/keywords/chatbot","display_name":"Chatbot","score":0.3662000000476837}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7509999871253967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707099974155426},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.7067999839782715},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6636000275611877},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5324000120162964},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4961000084877014},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43560001254081726},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3968999981880188},{"id":"https://openalex.org/C71611378","wikidata":"https://www.wikidata.org/wiki/Q5165191","display_name":"Contextual design","level":3,"score":0.3840999901294708},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3292999863624573},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28859999775886536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2831000089645386},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C138744977","wikidata":"https://www.wikidata.org/wiki/Q5132438","display_name":"Clickstream","level":5,"score":0.2635999917984009},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10791-025-09792-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09792-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09792-y.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6496f998bc5340599bc591a38e283073","is_oa":true,"landing_page_url":"https://doaj.org/article/6496f998bc5340599bc591a38e283073","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 Computing, Vol 28, Iss 1, Pp 1-22 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10791-025-09792-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09792-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09792-y.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416955504.pdf","grobid_xml":"https://content.openalex.org/works/W4416955504.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2017202214","https://openalex.org/W2774321216","https://openalex.org/W2996103499","https://openalex.org/W2999777873","https://openalex.org/W3009983528","https://openalex.org/W3056667996","https://openalex.org/W3097300053","https://openalex.org/W3110460191","https://openalex.org/W3115776703","https://openalex.org/W3152893301","https://openalex.org/W3166368118","https://openalex.org/W4205764791","https://openalex.org/W4210585343","https://openalex.org/W4309770508","https://openalex.org/W4316467706","https://openalex.org/W4366827494","https://openalex.org/W4385549611","https://openalex.org/W4386422321","https://openalex.org/W4389664660","https://openalex.org/W4391731005","https://openalex.org/W4391790545","https://openalex.org/W4392477139","https://openalex.org/W4393379133","https://openalex.org/W4405143323","https://openalex.org/W4407316484","https://openalex.org/W4408677393","https://openalex.org/W4409499387"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Touristic":[1],"experience":[2],"(TE)":[3],"is":[4,15,68],"a":[5,42,92],"unique":[6],"and":[7,18,84,103,120,126,145,150,162,180,182,191,196],"underexplored":[8],"category":[9],"of":[10,95],"digital":[11,52,203],"tourism":[12,27,53,58,204],"products.":[13],"It":[14,154],"multi-modal,":[16],"dynamic,":[17],"highly":[19],"subjective,":[20],"which":[21],"poses":[22],"significant":[23],"challenges":[24],"for":[25,46,147,159,193,209],"traditional":[26],"recommender":[28],"systems.":[29],"To":[30],"address":[31],"these":[32],"challenges,":[33],"we":[34],"present":[35],"an":[36],"Intelligent":[37],"Embedded":[38],"Recommender":[39],"Network":[40],"(IERN),":[41],"framework":[43,90,109,173],"specifically":[44,208],"designed":[45],"sparse":[47],"user":[48,72],"interaction":[49,122],"data":[50,211],"on":[51,70],"platforms":[54],"(DTPs),":[55],"where":[56],"conventional":[57],"recommendation":[59],"systems":[60],"often":[61],"fail":[62],"to":[63,98,168],"perform":[64],"effectively.":[65],"Our":[66],"approach":[67],"based":[69],"advanced":[71],"profiling":[73],"through":[74],"extensive":[75],"feature":[76],"transformations,":[77],"deep":[78],"neural":[79],"profile":[80],"learners,":[81],"intelligent":[82],"embeddings,":[83],"clusters":[85],"with":[86,100,112,131,205],"associative":[87],"similarity.":[88],"The":[89],"presents":[91],"ranked":[93],"list":[94],"TE":[96],"recommendations":[97,111],"users":[99],"predicted":[101],"ratings":[102],"sentiments.":[104],"For":[105],"enhanced":[106],"usability,":[107],"our":[108,136,172],"augments":[110],"contextual":[113],"features:":[114],"weather":[115],"forecasts,":[116],"live":[117],"traffic":[118],"updates,":[119],"multi-modal":[121],"tools":[123],"\u2014including":[124],"chatbot":[125],"voice":[127],"recommendations.":[128],"Comparative":[129],"evaluations":[130],"baseline":[132,157],"models":[133,158],"reveal":[134],"that":[135],"model":[137],"shows":[138],"decreased":[139],"MSE":[140],"by":[141,177,188],"percentages":[142],"38.00%,":[143],"61.03%,":[144],"19.48%":[146],"Airbnb,":[148,194],"TripAdvisor,":[149,195],"Booking.com":[151,197],"datasets,":[152,198],"respectively.":[153,199],"also":[155],"outperforms":[156],"MAE,":[160],"MAAPE,":[161],"R":[163],"$$^2$$":[164],"parameters.":[165],"In":[166],"addition":[167],"utility":[169],"error":[170],"measures,":[171],"demonstrates":[174],"increased":[175],"diversity":[176],"0.53%,":[178],"0.55%,":[179],"0.35%,":[181],"exhibits":[183],"better":[184],"item":[185],"space":[186],"coverage":[187],"30.12%,":[189],"55.02%,":[190],"42.93%":[192],"This":[200],"study":[201],"advances":[202],"practical":[206],"implications,":[207],"sparse-interaction":[210],"scenarios.":[212]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-12-03T00:00:00"}