Recommender systems provide personalized information access to users of Internet
services from social networks to e-commerce to media and entertainment. As is appropriate …

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 …

Emotional intelligence as personal intelligence and artificial intelligence as a machine
intelligence have been popular in the relevant literature over the last two decades. The …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …

The recent developments of internet technology have created premium space for
recommender system (RS) to help users in their daily life. An effective personalized …

The development of social media applications has given rise to a new e-commerce
paradigm called social commerce. The social features inherent to these applications foster …

Group recommender systems are becoming very popular in the social web owing to their
ability to provide a set of recommendations to a group of users. Several group recommender …

Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …

Recommender systems are increasingly used in various domains like movies, travel, music,
etc. The rise in social activities has increased the usage of recommender systems in general …