Intelligent tourism recommender systems: A survey

By Joan Borràs, Antonio Moreno, Aïda Valls. Expert systems with applications, 2014

505 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/567e0e01bdade182b4afe4c4a57169e301f519d5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Dietmar Jannach
2. Michael Jugovac
3. Mozhgan Karimi

In Computer Vision and Pattern Recognition

1. Michael Jugovac
2. Mozhgan Karimi
3. Dietmar Jannach

In Information Systems

1. Michael Jugovac
2. Mozhgan Karimi
3. Dietmar Jannach

Citations in the corpus

• News recommender systems - Survey and roads ahead (2018, background): “Recommenders have been successfully applied in a variety of domains , and the recommendable objects include movies, books, travel and tourism services, research articles, search queries, and many more [9, 15, 144].”