Collabus: Music Recommendation System for Groups

Collabus: Music Recommendation System for Groups

In this decade, the music industry had a paradigm shift to digital distribution through online music stores and music streaming services, like Spotify, Apple Music, Amazon Music and SoundCloud. However, with the massive increase of available songs in the platforms, users of those encountered the problem of choosing suitable songs for them. Therefore, music recommendation systems became much more important to guide listeners to explore new songs suitable for their taste.
Our greatest motive for this project is developing a music platform that recom- mends songs based on a group of people’s shared preference and taste. Usually, people gather with a purpose to do something together, like dining, chilling or chatting. In the meantime, it has always been hard to select a suitable song for the ambiance and people. A self-deciding music platform would be beneficial for having a better time together.

Project Poster: 

Project Members: 

Ekrem Öztürk
Seha Yiğit Güryol

Project Advisor: 

Ali Taylan Cemgil

Project Status: 

Project Year: 

  • Spring

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Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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