THOR: A Hybrid Recommender System for the Personalized Travel Experience

THOR: A Hybrid Recommender System for the Personalized Travel Experience

One of the travelers’ main challenges is that they have to spend a great effort to find and choose the most desired travel offer(s) among a vast list of non-categorized and non-personalized items. Recommendation systems provide an effective way to solve the problem of information overload. In this w...

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Bibliographic Details
Main Authors: Alireza Javadian Sabet, Mahsa Shekari, Chaofeng Guan, Matteo Rossi, Fabio Schreiber, Letizia Tanca
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Big Data and Cognitive Computing
Subjects:
Context-Aware Recommender System
personalization
preferences
user modeling
journey planning
mobility
Online Access:https://www.mdpi.com/2504-2289/6/4/131

Internet

https://www.mdpi.com/2504-2289/6/4/131

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