# ChenJiaDong9219/movieRecommendation

<https://repo.masters-masters.com/en/repos/ChenJiaDong9219/movieRecommendation>

[Home](https://repo.masters-masters.com/en) › [ChenJiaDong9219](https://repo.masters-masters.com/en/owners/ChenJiaDong9219) › [movieRecommendation](https://repo.masters-masters.com/en/repos/ChenJiaDong9219/movieRecommendation)

ChenJiaDong9219/movieRecommendation has 137 stars on GitHub. Its RepoMasters card: Prototype tier. 本项目使用两种算法来实现一个电影推荐系统，一个是CNN，另一个是矩阵分解的协同过滤。

| Field | Value |
| --- | --- |
| Owner | [ChenJiaDong9219](https://repo.masters-masters.com/en/owners/ChenJiaDong9219) |
| Stars | 137 |
| Forks | 38 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ChenJiaDong9219/movieRecommendation](https://github.com/ChenJiaDong9219/movieRecommendation) |

## Repository

本项目使用两种算法来实现一个电影推荐系统，一个是CNN，另一个是矩阵分解的协同过滤。

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

## Nearby in Jupyter Notebook

- [vdblm/CausalPFN · ★ 137 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/vdblm/CausalPFN)
- [techwithtim/PanadasTutorial · ★ 137 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/techwithtim/PanadasTutorial)
- [roostorg/model-community · ★ 137 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/roostorg/model-community)
- [skyfielders/astronomy-notebooks · ★ 137 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/skyfielders/astronomy-notebooks)
- [wqw547243068/wangqiwen · ★ 137 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/wqw547243068/wangqiwen)
- [root-project/training · ★ 137 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/root-project/training)

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