A systematic review and research perspective on recommender systems
Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …
widespread owing to the changing habits of computer users, personalization trends, and …
Intelligent tourism recommender systems: A survey
Recommender systems are currently being applied in many different domains. This paper
focuses on their application in tourism. A comprehensive and thorough search of the smart e …
focuses on their application in tourism. A comprehensive and thorough search of the smart e …
Recommender system application developments: a survey
A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …
recommendations to handle the increasing online information overload problem and …
Hybrid recommender system for tourism based on big data and AI: A conceptual framework
K Al Fararni, F Nafis, B Aghoutane… - Big Data Mining and …, 2021 - ieeexplore.ieee.org
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 …
production of tourist data has multiplied at all levels (hotels, restaurants, transport, heritage …
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 …
of human life so as travel recommendations, though the early form of recommendations …
A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA–ANFIS
In order to improve the tourist experience, recommender systems are used to offer
personalized information for online users. The hotel industry is a leading stakeholder in the …
personalized information for online users. The hotel industry is a leading stakeholder in the …
Novel centroid selection approaches for KMeans-clustering based recommender systems
Recommender systems have the ability to filter unseen information for predicting whether a
particular user would prefer a given item when making a choice. Over the years, this process …
particular user would prefer a given item when making a choice. Over the years, this process …
Recommender systems: an overview, research trends, and future directions
Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …
users to find items online by providing suggestions that closely match their interest. This …
Planning for tourism routes using social networks
Traveling recommendation systems have become very popular applications for organizing
and planning tourist trips. Among other challenges, these applications are faced with the …
and planning tourist trips. Among other challenges, these applications are faced with the …
Tourism recommendation system: A survey and future research directions
Abstract A Recommendation System (RS) is an intelligent computer based system which
provide valuable suggestions to the user and are used in several domains. Social media …
provide valuable suggestions to the user and are used in several domains. Social media …