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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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Principais autores: Khalid AL Fararni, Fouad Nafis, Badraddine Aghoutane, Ali Yahyaouy, Jamal Riffi, Abdelouahed Sabri
Format: Artigo
Jezik:Inglês
Izdano: Tsinghua University Press 2021-03-01
Serija:Big Data Mining and Analytics
Teme:
recommender systems
user profiling
content-based filtering
collaborative filtering
hybrid recommender system
e-tourism
trip planning
Online dostop:https://www.sciopen.com/article/10.26599/BDMA.2020.9020015
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