Articles — University

No SQL db

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.

O conceito de automação residencial é definido como o conjunto de serviços proporcionados por sistemas tecnológicos integrados, sendo a melhor maneira de satisfazer as necessidades básicas de segurança, comunicação, gestão energética e conforto de uma habitação. Seguindo essa concepção, surgiu-se a ideia da criação de um Kit automatizado para janelas utilizando a plataforma Arduíno, visando a solução de problemas do dia a dia como o transtorno causado pela chuva e principalmente, gerando praticidade e comodidade para os cidadãos.

Beamer Presentation LaTeX Template Version 1.0 (10/11/12) This template has been downloaded from: http://www.LaTeXTemplates.com License: CC BY-NC-SA 3.0 (http://creativecommons.org/licenses/by-nc-sa/3.0/)

In this work we apply machine learning as a conducive method towards identifying previously unstudied patterns in chromosome interaction data sets. We rst use supervised learning to show that patterns identi ed by a user can be learned by tensor ow models, and then transition into unsupervised methods to delve even more deeply into the possibilities of discovery without human intervention.

Beamer theme "Cuerna", version 1.0 Copyright Gubertino Cavalieri (mathsguy@bluesimplex.com) October 2014. distributed under the GNU GPL Licence.

abtex2-modelo-trabalho-academico.tex, v-1.9.2 laurocesar Copyright 2012-2014 by abnTeX2 group at http://abntex2.googlecode.com/ This work may be distributed and/or modified under the conditions of the LaTeX Project Public License, either version 1.3 of this license or (at your option) any later version. The latest version of this license is in http://www.latex-project.org/lppl.txt and version 1.3 or later is part of all distributions of LaTeX version 2005/12/01 or later. This work has the LPPL maintenance status `maintained'. The Current Maintainer of this work is the abnTeX2 team, led by Lauro César Araujo. Further information are available on http://abntex2.googlecode.com/ This work consists of the files abntex2-modelo-trabalho-academico.tex, abntex2-modelo-include-comandos and abntex2-modelo-references.bib

Eficiˆencia de sistema de telhado verde extensivo em precipita¸c˜oes extremas: an´alise quantitativa e efeitos na mitiga¸c˜ao de inunda¸c˜oes urbanas. Template downloaded from: http://www.latextemplates.com

Template details (c) 2002 Matthew Boedicker (original author) http://mboedick.org (c) 2003-2007 David J. Grant http://www.davidgrant.ca (c) 2008 Nathaniel Johnston http://www.nathanieljohnston.com (l) 2012 Arun I B http://www.ee.iitm.ac.in/~ee10s026/ This work is licensed under the Creative Commons Attribution-Noncommercial-Share Alike 2.5 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/2.5/ or send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA.