Recommender systems (RSs) are information search and filtering tools that provide
suggestions for items to be of use to a user. They are now common in many Internet …

In this paper, we argue that the process of developing travel recommender systems (TRS)
can be simplified. By studying the application domain of tourism information systems, and …

In this paper, we summarize RecTour 2016--a workshop on recommenders in tourism co-
located with RecSys 2016. There was a great variety of submissions, ie, research papers …

Recommender systems have become an active research topic during the last two decades,
thus giving rise to several approaches and techniques. They have also become increasingly …

The evolution of the internet over the past years has given destinations, suppliers of tourism
services and intermediaries a wide range of new possibilities to get into contact with their …

Recommender systems solve this problem in an elegant manner by making sure interested
parties always find what best fits their needs. It has already been argued that rather than …

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 …

Recommender systems for the travel and hospitality industries attempt to emulate offline
travel agents by providing users with knowledgeable travel suggestions. The ultimate goal is …

Recommender systems are tools for interacting with large and complex information spaces.
They provide a personalized view of such spaces, prioritizing items likely to be of interest to …

Scholars in algorithmic recommender systems research have developed a largely
standardized scientific method, where progress is claimed by showing that a new algorithm …