A movie recommendation system based on Spark. Collaborative Filtering model is used as Machine Learning model.
- 1、Learning Spark. Build Spark environment.
- 2、Accomplish core parts in the system, includes raw data process, learning and recommendation
- 3、Test learning results. Building a simple web application.
- 4、Building a simple web application.
| Stage | Start | End | Goals |
|---|---|---|---|
| 1 | 07/18/16 | 07/23/16 | Building Spark working environment |
| 2 | 07/25/16 | 08/06/16 | Building core parts in the system |
| 3 | 08/08/16 | 08/13/16 | Testing learning results. Building a simple web application. |
| 4 | 08/15/16 | 08/20/16 | Building a simple web application. |
BitTiger Project: Movie Rating with Collaborative Filtering
Each line in the ratings dataset (ratings.dat.gz) is formatted as: UserID::MovieID::Rating::Timestamp
- 成员：贺行行 张弘毅 陈庆明