Identificador persistente para citar o vincular este elemento:
https://accedacris.ulpgc.es/handle/10553/106011
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bulchand Gidumal, Jacques | - |
dc.date.accessioned | 2021-03-22T12:04:18Z | - |
dc.date.available | 2021-03-22T12:04:18Z | - |
dc.date.issued | 2022 | - |
dc.identifier.isbn | 9783030486525 | - |
dc.identifier.isbn | 9783030486518 | - |
dc.identifier.other | Scopus | - |
dc.identifier.uri | https://accedacris.ulpgc.es/handle/10553/106011 | - |
dc.description.abstract | Artificial intelligence (AI) is currently present in almost every area of travel and tourism, appearing in different types of pplications such as personalization and recommender systems, robots, conversational systems, smart travel agents, prediction and forecasting systems, language translation applications, and voice recognition and natural language processing systems. Recent improvements in big data, algorithms, and computing power have enabled significant enhancements in AI. In this chapter, we review how AI has changed and is changing the main processes in the tourism industry. We start with the IT foundations of AI that are relevant for travel and tourism and then address the AI systems and applications available in the sector. We then examine hospitality in detail, as a sector in which most of these systems are being implemented. We conclude with the challenges that AI faces in the tourism sector, a research agenda, and draw a scenario of the future of AI in tourism. | - |
dc.language | eng | - |
dc.publisher | Springer | - |
dc.relation.ispartof | Handbook Of E-Tourism | - |
dc.source | Handbook of e-Tourism[EISSN ], p. 1943-1962, (Enero 2022) | - |
dc.subject | 3325 Tecnología de las telecomunicaciones | - |
dc.subject | 531290 Economía sectorial: turismo | - |
dc.subject.other | Big data | - |
dc.subject.other | Deep learning | - |
dc.subject.other | Machine learning | - |
dc.subject.other | Personalization | - |
dc.subject.other | Forecasting | - |
dc.subject.other | Robots | - |
dc.title | Impact of artificial intelligence in travel, tourism and hospitality | - |
dc.type | info:eu-repo/semantics/bookPart | - |
dc.identifier.doi | 10.1007/978-3-030-48652-5_110 | - |
dc.identifier.scopus | 85153644737 | - |
dc.contributor.orcid | NO DATA | - |
dc.contributor.authorscopusid | 26665255800 | - |
dc.description.lastpage | 1962 | - |
dc.description.firstpage | 1943 | - |
dc.investigacion | Ciencias Sociales y Jurídicas | - |
dc.type2 | Capítulo de libro | - |
dc.utils.revision | Sí | - |
dc.identifier.ulpgc | Sí | - |
dc.identifier.ulpgc | Sí | - |
dc.identifier.ulpgc | Sí | - |
dc.identifier.ulpgc | Sí | - |
dc.contributor.buulpgc | BU-ECO | - |
dc.contributor.buulpgc | BU-ECO | - |
dc.contributor.buulpgc | BU-ECO | - |
dc.contributor.buulpgc | BU-ECO | - |
dc.description.spiq | Q1 | - |
item.fulltext | Con texto completo | - |
item.grantfulltext | open | - |
crisitem.author.dept | GIR TIDES: Emprendimiento, Empresa Digital e Innovación | - |
crisitem.author.dept | IU de Turismo y Desarrollo Económico Sostenible | - |
crisitem.author.dept | Departamento de Economía y Dirección de Empresas | - |
crisitem.author.orcid | 0000-0001-8522-2013 | - |
crisitem.author.parentorg | IU de Turismo y Desarrollo Económico Sostenible | - |
crisitem.author.fullName | Bulchand Gidumal, Jacques | - |
Appears in Collections: | Capítulo de libro |
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