# Leavingseason/rnn\_recsys

<https://repo.masters-masters.com/en/repos/Leavingseason/rnn_recsys>

[Home](https://repo.masters-masters.com/en) › [Leavingseason](https://repo.masters-masters.com/en/owners/Leavingseason) › [rnn\_recsys](https://repo.masters-masters.com/en/repos/Leavingseason/rnn_recsys)

Leavingseason/rnn\_recsys has 140 stars on GitHub. Its RepoMasters card: Prototype tier. Our implementation of the paper "Embedding-based News Recommendation…

| Field | Value |
| --- | --- |
| Owner | [Leavingseason](https://repo.masters-masters.com/en/owners/Leavingseason) |
| Stars | 140 |
| Forks | 37 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | embedding-based, neural-network, recommender-system, rnn |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Leavingseason/rnn\_recsys](https://github.com/Leavingseason/rnn_recsys) |

## Repository

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

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.