Um sistema de recomendação de rotas turísticas baseado em filtragem colaborativa

Suzanne Loures Santos; Frederico Araújo Durão

doi:10.1590/1983-3652.2023.41397

Authors

Suzanne Loures Santos Universidade Federal da Bahia, Instituto de Computação, Salvador, BA, Brasil https://orcid.org/0000-0003-3251-4850
Frederico Araújo Durão Universidade Federal da Bahia, Instituto de Computação, Salvador, BA, Brasil https://orcid.org/0000-0002-7766-6666

DOI:

https://doi.org/10.1590/1983-3652.2023.41397

Keywords:

Recommender system, Point of interest, Tourism, Route

Abstract

Planning a trip, whether as a tourist or work, may not be a simple task. Buying tickets, finding accommodations available, and selecting places to visit, this whole process can be very exhausting considering the number of online platforms that offer services in the tourist scope and also the overload of information in web search engines. Recommender Systems enter this context to filter information and suggest relevant data for the user. This article proposes a tourist route recommendation system that aims to help travelers find relevant tourist spots according to their preferences and interests.

Author Biography

Frederico Araújo Durão, Universidade Federal da Bahia, Instituto de Computação, Salvador, BA, Brasil

Frederico Durão was post doctoral researcher at Insight Centre for Data Analysis, University College Cork, Ireland in 2016/2017. Before Frederico Durão was a technical coordinator of the USTO.RE project that aims at developing a P2P platform for data storage in a cloud. In 2012, he obtained his PhD in Computer Science from the University of Aalborg, Denmark. Before, Frederico earned his BS in Computer Science in the Faculty Ruy Barbosa in 2004 and his Masters in Computer Science at the Federal University of Pernambuco in 2008. From 2005 until 2008 he worked as scientist at the Center for Advanced Studies and Systems of Recife (CESAR), where he participated in several industrial projects geared to both the scientific community as well as for industry. In 2008, Frederico Durão became a member of the Intelligent Web and Information Systems (IWIS) at the Department of Informatics at Aalborg University, where he conducted research on the strategies and algorithms for personalized Web. Frederico Durão revised and published several articles in conferences and journals relevant to the areas of Information Systems and Social Web. Currently, Frederico Durão is member of the WISER Research Group and a professor at Federal University of Bahia where he teaches and conduct research in the areas of Social Web and Information Retrieval.

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