{"id":"https://openalex.org/W4285290342","doi":"https://doi.org/10.1504/ijtmkt.2023.127333","title":"Support the creation of appropriate tourism offers by finding a model, using machine learning algorithms, to forecast spending by tourists","display_name":"Support the creation of appropriate tourism offers by finding a model, using machine learning algorithms, to forecast spending by tourists","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285290342","doi":"https://doi.org/10.1504/ijtmkt.2023.127333"},"language":"en","primary_location":{"id":"doi:10.1504/ijtmkt.2023.127333","doi":"https://doi.org/10.1504/ijtmkt.2023.127333","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijtmkt.2023.127333","pdf_url":null,"source":{"id":"https://openalex.org/S195362841","display_name":"International Journal of Technology Marketing","issn_l":"1741-878X","issn":["1741-878X","1741-8798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Technology Marketing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5072547569","display_name":"Irena Boboli","orcid":"https://orcid.org/0000-0002-4597-4488","observed_orcids":["https://orcid.org/0000-0002-4597-4488"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Irena Boboli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061594502","display_name":"Irena Shahini","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Irena Shahini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070885015","display_name":"Denada Xhaja \u00c7ollaku","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Denada \u00c7ollaku","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079221529","display_name":"Ana Ktona","orcid":"https://orcid.org/0000-0002-6749-117X","observed_orcids":["https://orcid.org/0000-0002-6749-117X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ana Ktona","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5045304359","display_name":"Etleva Mu\u00e7a","orcid":"https://orcid.org/0000-0002-6524-8467","observed_orcids":["https://orcid.org/0000-0002-6524-8467"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Etleva Mu\u00e7a","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6576,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.65549601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"1","issue":"1","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.4074999988079071,"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"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.4074999988079071,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.2896000146865845,"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/T10055","display_name":"Diverse Aspects of Tourism Research","score":0.25440001487731934,"subfield":{"id":"https://openalex.org/subfields/1409","display_name":"Tourism, Leisure and Hospitality Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-regression","display_name":"support vector regression","score":0.9419999718666077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.5289999842643738},{"id":"https://openalex.org/keywords/gjirokaster","display_name":"Gjirokast\u00ebr","score":0.7889999747276306},{"id":"https://openalex.org/keywords/tourism-agencies","display_name":"tourism agencies","score":0.37700000405311584},{"id":"https://openalex.org/keywords/first-time-visitors","display_name":"first-time visitors","score":0.8149999976158142},{"id":"https://openalex.org/keywords/tourism-technology","display_name":"tourism technology","score":0.44999998807907104},{"id":"https://openalex.org/keywords/digital-transformation-in-tourism","display_name":"digital transformation of tourism","score":0.7889999747276306}],"concepts":[{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.7502526640892029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5297495126724243},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.4754464328289032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4551829993724823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4541366696357727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4229740500450134},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.32694578170776367},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32192113995552063},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.12076902389526367},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1504/ijtmkt.2023.127333","doi":"https://doi.org/10.1504/ijtmkt.2023.127333","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijtmkt.2023.127333","pdf_url":null,"source":{"id":"https://openalex.org/S195362841","display_name":"International Journal of Technology Marketing","issn_l":"1741-878X","issn":["1741-878X","1741-8798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Technology Marketing","raw_type":"journal-article"},{"id":"doi:10.1504/ijtmkt.2022.10048142","doi":"https://doi.org/10.1504/ijtmkt.2022.10048142","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijtmkt.2022.10048142","pdf_url":null,"source":{"id":"https://openalex.org/S195362841","display_name":"International Journal of Technology Marketing","issn_l":"1741-878X","issn":["1741-878X","1741-8798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Technology Marketing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3122916892","https://openalex.org/W1044225184","https://openalex.org/W7053051696","https://openalex.org/W6941481164","https://openalex.org/W7141102595","https://openalex.org/W2909016011","https://openalex.org/W2991036080","https://openalex.org/W2287863264","https://openalex.org/W2601576882","https://openalex.org/W3037942095"],"abstract_inverted_index":{"Tourism":[0,155],"in":[1,33,74,87,98,147],"Albania":[2],"is":[3,131],"one":[4],"of":[5,9,27,51,55,101,151,171],"the":[6,24,34,65,99,119,149,169,174],"potential":[7,66],"pillars":[8],"economic":[10,38],"development,":[11],"offering":[12],"real":[13],"opportunities":[14],"for":[15,67,122,138],"GDP":[16],"growth":[17],"and":[18,23,37,60,70,164],"employment.":[19],"New":[20],"technology":[21,69],"development":[22],"digital":[25],"transformation":[26],"society":[28],"have":[29,111],"led":[30],"to":[31,77,114,117,161,167],"tourism":[32,90],"upper":[35],"social":[36],"dimensions.":[39],"Technology":[40],"can":[41,83,144,157],"make":[42],"an":[43],"impact":[44],"by":[45,132],"improving":[46],"tourist":[47,79,124],"experiences":[48],"through:":[49],"integration":[50,54],"generation":[52],"mobile,":[53],"IoT,":[56],"data":[57,116],"evaluation,":[58],"reputation":[59],"promotion.":[61],"This":[62],"study":[63],"presents":[64],"using":[68,103],"computer":[71],"science":[72],"applications":[73],"finding":[75],"models":[76,82],"forecast":[78],"expenditure.":[80],"These":[81],"be":[84,145],"a":[85,104,134,152],"support":[86,135],"creating":[88],"appropriate":[89,128],"offers.":[91],"Data":[92],"has":[93],"been":[94,112],"collected":[95],"from":[96],"tourists":[97,172],"City":[100],"Gjirokastra":[102],"face-to-face":[105],"questionnaire.":[106],"Various":[107],"machine":[108,137],"learning":[109],"algorithms":[110],"applied":[113],"our":[115],"determine":[118],"best":[120],"model":[121,129,141],"forecasting":[123,148],"spending.":[125],"The":[126,140],"most":[127],"found":[130,143],"applying":[133],"vector":[136],"regression.":[139],"we":[142],"used":[146],"expenditure":[150],"first-time":[153],"visitor.":[154],"agencies":[156],"use":[158],"this":[159],"information":[160],"create":[162],"convenient":[163],"affordable":[165],"offers":[166],"increase":[168],"number":[170],"visiting":[173],"area.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2022-07-14T00:00:00"}