Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework

Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework

With the development of the Internet, technology, and means of communication, the production of tourist data has multiplied at all levels (hotels, restaurants, transport, heritage, tourist events, activities, etc.), especially with the development of Online Travel Agency (OTA). However, the list of...

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Bibliographic Details
Main Authors: Khalid AL Fararni, Fouad Nafis, Badraddine Aghoutane, Ali Yahyaouy, Jamal Riffi, Abdelouahed Sabri
Format: Article
Language:English
Published: Tsinghua University Press 2021-03-01
Series:Big Data Mining and Analytics
Subjects:
recommender systems
user profiling
content-based filtering
collaborative filtering
hybrid recommender system
e-tourism
trip planning
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2020.9020015
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https://www.sciopen.com/article/10.26599/BDMA.2020.9020015

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