RecTour 2019
Workshop on Recommenders in Tourism

Table of Contents

• Preface
  
  

Long Papers

• Users’ Evaluation of Next-POI Recommendations 1-8
  David Massimo , Francesco Ricci
• Cascaded Machine Learning Model for Efficient Hotel Recommendations from Air Travel Bookings 9-16
  Eoin Thomas , Antonio Gonzalez Ferrer , Benoit Lardeux , Mourad Boudia , Christian Haas-Frangii , Rodrigo Acuna Agost

Short Papers

• Designing a Conversational Travel Recommender System Based on Data-Driven Destination Characterization 17-21
  Linus W. Dietz , Saadi Myftija , Wolfgang Wörndl
• A Simple Deep Personalized Recommendation System 22-26
  Pavlos Mitsoulis Ntompos , Meisam Hejazinia , Serena Zhang , Travis Brady
• A Framework for Recommender Systems Based on a Finite Multidimensional Model Space 27-31
  Leonhard Seyfang , Julia Neidhardt
• TourWithMe: Recommending Peers to Visit Attractions Together 32-37
  Sebastian Vallejos , Marcelo Gabriel Armentano , Luis Berdun

Poster Papers

• Balancing Preferences, Popularity and Location in Context-Aware Restaurant Deal Recommendation: A Bristol Case Study 38-41
  Ercan Ezin , Hugo Alcaraz-Herrera , Iván Palomares
• Re-CoSKQ: Towards POIs Recommendation Using Collective Spatial Keyword Queries 42-45
  Ramon Hermoso , Sergio Ilarri , Raquel Trillo-Lado