This research work presents a detailed survey about Computational Intelligence (CI) applied
to various Hotel and Travel Industry areas. Currently, the hospitality industry's interest in data …

In recent years, recommender systems have been used as a solution to support tourists with
recommendations oriented to maximize the entertainment value of visiting a tourist …

Algorithms that create recommendations based on observed data have significant
commercial value for online retailers and many other industries. Recommender systems …

In the fields of machine learning and artificial intelligence, recommendation systems (RS) or
recommended engines are commonly used. In today's world, recommendation systems …

Internet-based services are available to recommend destinations and activities for organized
trips. Only few systems support travelers when creating composite trips consisting of multiple …

Recent advancements in location-based recommendation system (LBRS) and the
availability of online applications, such as Twitter, Instagram, Foursquare, Path, and …

Every year new movies are released with a varied story-line or a genre which could be of
potential interest to viewers. Various online movie or video streaming platforms can keep the …

Traditional Recommender Systems recommend items on the basis of a single criterion
whereas Multi Criteria methods take many different criteria for each item. Although Multi …

In this paper, we have focused on applying robotics as a social element and an intermediary
in tourism. To that end, a system has been developed that will benefit the tourist experience …

Tourists spend a lot of effort in planning itineraries when organizing a trip. This is a complex
activity that involves selecting the places to visit and dealing with a number of temporal …