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.
This is a template for writing the B.Tech thesis for the National Institute of Technology, Trichy. I hope it'll be useful for B.tech, Masters and PhD students!
This LaTeX template is used by many universities as the basis for thesis and dissertation submissions, and is a great way to get started if you haven't been provided with a specific version from your department.
This version of the template is provided by Vel at LaTeXTemplates.com, and is already loaded in Overleaf so you can start writing immediately.
Checkout this short video to see how to easily create and edit new chapters as your thesis develops.
Please read the unofficial quick guide to the template; it contains some tips and suggestions on how to modify certain things.
(Updated 27/08/17)