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Research about recommendation systems has increased due to the amount of information that it is available to individuals. In the music context these systems help the individual to filter and discover new songs according the individual's taste. Most of the business music companies use a recommendation system, based on the characteristics of a song listened by an individual, but a group recommendation system is still underexplored. For a shared environment when there is music, the songs selection will be more efficient if a group recommendation system is used. The goal of this project is to develop a music recommendation for a group that, is sharing the same environment, taking into consideration the context. For this reason, in this work we will employ the Spotify API to recover the data of playlists that were listened by an individual, collecting its preferences and adding them to the others individuals playlists.

Série de estudos baseados na revista Ensinos do Reino da Editora Didaquê

Estudo baseado na revista Ensinos do Reino da Editora Didaquê - Lição 2

A simple AAU report template (2015-05-08 v. 1.2.0), Copyright 2010-2015 by Jesper Kjær Nielsen <jkn@es.aau.dk> This is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You can find the GNU General Public License at <http://www.gnu.org/licenses/>. This template was downloaded from the original author's page at http://kom.aau.dk/~jkn/latex/latex.php#reporttemplate.

A presentation on knowledge graphs in German.

Neural Networks for Engineering Students Read the top first. Elon Musk thinks this is more dangerous than nukes. Show a little respect, but don't be afraid.

This is the start of a template for dissertation. Testing editing of the tempate.

Adaptation from original utfpr-pg latex model

Overleaf and the Genetics Society of America (GSA) have created this template for authors submitting manuscripts to G3: Genes|Genomes|Genetics. The template allows authors to easily prepare and edit their manuscripts using Overleaf. Authors can then submit manuscripts to G3 by using the PDF and source files generated from Overleaf. To begin writing online (in your browser), simply click the Open as Template button, above. The Overleaf template will be loaded, and additional guidelines for preparing your submission are included within the template itself. If you're new to Overleaf and LaTeX, check out our free introductory course for help getting started. (Updated: 1 April 2022)