—Currently the time to start planning a trip is common that the user makes use of the Internet in order to obtain through other people's comments certain recommendations for a hotel, what to see, how transported, etc. But when seeking information about a hotel, there are specialized websites through the feedback of users recommend to hotels, leaving out the user comments. This paper proposes a methodology to recommend hotels classifying the comments made by users. As a case study using the comments found on the TripAdvisor site belonging to a Mexican port hotels. The objective is to analyze ontologies through the collective intelligence source that is in the comments.
—Recommender, e-tourism, semantic web, social networks, collective intelligence.
Paola Cortez is with Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, IPN/México (e-mail: pcortez@ ipn.mx).
Serguei Levachkine is with Centro de Investigación en Computación, IPN/México (e-mail: firstname.lastname@example.org).
Carlos de la Cruz is with the Professional Interdisciplinary Unit in Engineering and Advanced Technologies, México (e-mail: email@example.com).
Cite:Paola Cortez, Serguei Levachkine, and Carlos de la Cruz, "Tourist Information Evaluation Using a Social Network," Journal of Advances in Computer Networks vol. 2, no. 3, pp. 202-206, 2014.