Gallery — University

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.

Template pour une thèse de l'Université Montpellier 3 Paul-Valery

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

Modelo para dissertação de mestrado na Escola de Matemática Aplicada da FGV. obs.: Modelo em constante melhoramento.

Sniðmát fyrir verkefni í leiðbeindu námi við Tæknifræðinám Háskóla Íslands. Íslensk útgáfa. Template for project reports in courses at the Engineering Technology studies, University of Iceland. Icelandic version.

It is a template for UTP FYP dissertation.

Lab Report

We will form a proof of the Arzela-Ascoli Theorem through use of the Heine-Borel theorem. We will also be considering some notions of compactness on metric spaces. The Arzela-Ascoli Theorem then allows us to show compactness, letting us state and prove Peano's existence theorem, pertaining to the existence of the solutions of a type of ODE. Then we will state the Kolmogorov-Riesz compactness theorem, allowing us to show compactness in $L^p$ spaces, building from the Arzela-Ascoli Theorem.

Plantilla para los TFM realizada a partir de otra plantilla de K-State Electronic Theses (https://www.k-state.edu/grad/etdr/template/) Versión original descargable en: https://web.fdi.ucm.es/posgrado/docs/plantilla-TFM-LaTeX.zip