electronics Article My-Trac: System for Recommendation of Points of Interest on the Basis of Twitter Profiles Alberto Rivas 1,2,* , Alfonso González-Briones 1,2,3 , Juan J. Cea-Morán 1, Arnau Prat-Pérez 4 and Juan M. Corchado 1,2 1 BISITE Research Group, University of Salamanca, Edificio I+D+i, Calle Espejo 2, 37007 Salamanca, Spain;
[email protected] (A.G.-B.);
[email protected] (J.J.C.-M.);
[email protected] (J.M.C.) 2 Air Institute, IoT Digital Innovation Hub, Carbajosa de la Sagrada, 37188 Salamanca, Spain 3 Research Group on Agent-Based, Social and Interdisciplinary Applications (GRASIA), Complutense University of Madrid, 28040 Madrid, Spain 4 Sparsity-Technologies, 08034 Barcelona, Spain;
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[email protected] Abstract: New mapping and location applications focus on offering improved usability and services based on multi-modal door to door passenger experiences. This helps citizens develop greater confidence in and adherence to multi-modal transport services. These applications adapt to the needs of the user during their journey through the data, statistics and trends extracted from their previous uses of the application. The My-Trac application is dedicated to the research and development of these user-centered services to improve the multi-modal experience using various techniques. Among these techniques are preference extraction systems, which extract user information from social networks, such as Twitter. In this article, we present a system that allows to develop a profile of the preferences of each user, on the basis of the tweets published on their Twitter account. The Citation: Rivas, A.; González-Briones, system extracts the tweets from the profile and analyzes them using the proposed algorithms and A.; Cea-Morán, J.J.; Prat-Pérez, A.; returns the result in a document containing the categories and the degree of affinity that the user has Corchado, J.M.