# tmscarla/spotify-recsys-challenge

<https://repo.masters-masters.com/en/repos/tmscarla/spotify-recsys-challenge>

[Home](https://repo.masters-masters.com/en) › [tmscarla](https://repo.masters-masters.com/en/owners/tmscarla) › [spotify-recsys-challenge](https://repo.masters-masters.com/en/repos/tmscarla/spotify-recsys-challenge)

tmscarla/spotify-recsys-challenge has 100 stars on GitHub. Its RepoMasters card: Prototype tier. A complete set of Recommender Systems techniques used in the…

| Field | Value |
| --- | --- |
| Owner | [tmscarla](https://repo.masters-masters.com/en/owners/tmscarla) |
| Stars | 100 |
| Forks | 34 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [tmscarla/spotify-recsys-challenge](https://github.com/tmscarla/spotify-recsys-challenge) |

## Repository

A complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politecnico di Milano.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.