In this paper, we develop a novel hybrid recommender system for the tourism domain, which
combines (a) a Bayesian preferences elicitation component which operates by asking the …

This paper focuses on building personalized recommender system in the tourism field. The
application recommends to a tourist the best attractions in a particular place according to his …

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

Recommendation has become a prominent area of research in the field of Information
Retrieval (IR). Evaluation is also a traditional research topic in this community. Motivated by …

Context-aware recommender systems are information filtering and decision support
applications that generate recommendations by exploiting context-dependent user …

Recommender systems aim to provide users with personalised recommendations of items
based on their preferences. Such systems have during the last 15 years been applied in …

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 …

Given vast number of possible global travel destinations, choosing a destination has
become challenging. We argue that traditional media are insufficient to make informed travel …

Recommender systems are intended to assist consumers by making choices from a large
scope of items. While most recommender research focuses on improving the accuracy of …