Recommender systems applied to the tourism industry: a literature review-Reference-Cited by-同舟云学术

Recommender systems applied to the tourism industry: a literature review

Published:2024-06-25 Issue:1 Volume:11 Page:
ISSN:2331-1975
Container-title:Cogent Business & Management
language:en
Short-container-title:Cogent Business & Management

Author:

Solano-Barliza Andrés¹²³^ORCID,Arregocés-Julio Isabel¹⁴^ORCID,Aarón-Gonzalvez Marlin³^ORCID,Zamora-Musa Ronald⁵^ORCID,De-La-Hoz-Franco Emiro¹^ORCID,Escorcia-Gutierrez José¹^ORCID,Acosta-Coll Melisa¹^ORCID

Affiliation:

1. Department of Computer Science and Electronics, Universidad de la Costa, Barranquilla, Colombia

2. Departament d’Enginyeria Informàtica i Matemàtiques, Escola Tècnica Superior d’Enginyeria, Universitat Rovira i Virgili, Tarragona, Spain

3. Faculty of Engineering, Universidad de La Guajira, Riohacha, Colombia

4. Faculty of Economics and Administrative Sciences, Universidad de La Guajira, Riohacha, Colombia

5. Department of Industrial Engineering, Universidad Cooperativa de Colombia UCC, Barrancabermeja, Colombia

Funder

Colombian Ministry of Science, Technology, and Innovation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311975.2024.2367088

Reference156 articles.

1. CAFOB: Context-aware fuzzy-ontology-based tourism recommendation system

2. A smart city mobile application for multitype, proactive, and context-aware recommender system

3. How can we create a recommender system for tourism? A location centric spatial binning-based methodology using social networks

4. Location-Aware Personalized Traveler Recommender System (LAPTA) Using Collaborative Filtering KNN

5. A collaborative filtering recommender system using genetic algorithm