qiaoD / simpleSpark

Movie Recommending System Based on Spark MLlib

simpleSpark

Movie Recommending System Based on Spark MLlib

DataSets

MovieLens DataSets: https://grouplens.org/datasets/movielens/

Process

There are three files in the DataSets:

• Movies.dat
• Ratings.dat
• Users.dat

The main file is Ratings.dat.It's format is like this:

UserID::MovieID::RatingID::TimeStamp

We follow these steps to get the Model:

1. Preprocess the raw dataSet.
2. Training Model using ALS Algorithm.
3. Use ALS Model to get recommed movies.

ALS Model