- Room No: G.2.11
- Telephone: +64 7 838 4466
- Extension: 8766
- Facsimile: +64 7 838 4155
BCMS Honours Topic: "Music recommendation in the Long Tail."
Recently the popularity of online music streaming companies such as Pandora and Spotify has increased - due in part to the Recommender Systems that they provide. These systems are great at recommending popular music, but often face problems when trying to incorporate music in the Long Tail, i.e. music that is new or non-mainstream.
I will attempt to solve this problem by creating a system based on two types of filtering found in recommendation systems - Content-Based Filtering and Collaborative Filtering. By combining these two approaches I hope to create a Recommender System that is able to provide reliable suggestions for music in the Long Tail.