Artificial intelligence and big data in tourism: a systematic literature review

D Samara, I Magnisalis, V Peristeras - Journal of Hospitality and …, 2020 - emerald.com
Purpose This paper aims to research, identify and discuss the benefits and overall role of big
data and artificial intelligence (BDAI) in the tourism sector, as this is depicted in recent …

An extensive study on the evolution of context-aware personalized travel recommender systems

S Renjith, A Sreekumar, M Jathavedan - Information Processing & …, 2020 - Elsevier
Ever since the beginning of civilization, travel for various causes exists as an essential part
of human life so as travel recommendations, though the early form of recommendations …

Linked open data in location-based recommendation system on tourism domain: A survey

P Yochum, L Chang, T Gu, M Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

Collaborative filtering in recommender systems: Technicalities, challenges, applications, and research trends

PK Singh, PKD Pramanik, P Choudhury - New Age Analytics, 2020 - taylorfrancis.com
The rapid development and extensive use of recommender systems (RSs) have changed
the face of online service experience. The enormous data generated and the complexity …

A fuzzy ubiquitous traveler clustering and hotel recommendation system by differentiating travelers' decision-making behaviors

T Chen - Applied Soft Computing, 2020 - Elsevier
For generating hotel recommendations, clustering travelers has been demonstrated to be a
viable method to elevate traveler satisfaction with the recommendation results. However …

An empirical analysis of tourist satisfaction: A case-study of Zlin-Zoo in the Czech Republic

M Javed, Z Tučková, AB Jibril - GeoJournal of Tourism and …, 2020 - publikace.k.utb.cz
This paper aims to assess the mediating role of tourist satisfaction based on certain
antecedents and consequences for the fa mous zoo of the Moravian region in the Czech …

Tourism recommender system utilising property graph ontology as knowledge base

KS She, SC Haw, LJ Chew - … of the 12th International Conference on …, 2020 - dl.acm.org
In recent years, the amount of Internet information and users has been increasing at a
remarkable rate. Recommender System (RS) has emerged to solve the problem of drastic …

An Assessment of Tourist Satisfaction: A Review of Some Precursors and Consequences

M Javed, Z Tučková, AB Jibril - ICTR 2020 3rd International …, 2020 - books.google.com
This paper aims to review the relationships and assessment of some important precursors
(drivers) and consequences related to tourist satisfaction. Tourist satisfaction is important …

ANALISIS JARINGAN SEMANTIK PADA FORUM TRIPADVISOR UNTUK PENINGKATAN DAYA TARIK WISATA

R Maheswara - 2020 - e-journal.uajy.ac.id
Negara Indonesia merupakan negara yang terkenal akan kekayaan ragam kebudayaan
dan tradisi serta berbagai destinasi wisata tersebar di berbagai kota. Jakarta, Lombok, dan …