@inproceedings{f3608cc906f34343b98cfb0d577b7921,
title = "A social navigation guide using augmented reality",
abstract = "Social networks provide rich data sources for analyzing people activities. This paper introduces a mobile recommender system that suggests places to visit to tourists acting in the city of Mexico. The system developed generates itineraries based on the implicit users' behaviors. Recommendations are automatically extracted and analyzed from Twitter thanks to the application of Bayes and Tree algorithms. Suggested itineraries are crossanalyzed to take into account user profiles and preferences. The recommender system provides an augmented reality navigation system that suggests itineraries to the users according to some places of interest. The preliminary prototype developed is an Android app so-called {"}Turicel Social{"}.",
keywords = "Augmented Reality, Outdoor navigation, Recommender systems",
author = "Felix Mata and Christophe Claramunt",
note = "Publisher Copyright: {\textcopyright} Copyright 2014 ACM.; 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014 ; Conference date: 04-11-2014 Through 07-11-2014",
year = "2014",
month = nov,
day = "4",
doi = "10.1145/2666310.2666364",
language = "Ingl{\'e}s",
series = "GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems",
publisher = "Association for Computing Machinery",
pages = "541--544",
editor = "Markus Schneider and Michael Gertz and Yan Huang and Jagan Sankaranarayanan and John Krumm",
booktitle = "22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014",
}