This project will demonstrate how we can use Apache Spark[1] to recommend movies to a user. For this project, we will use a subset dataset of 500,000 ratings (ratings.dat.gz) [4] from the movielens 10M stable benchmark rating dataset.

<img src= "" alt="">

Recommendation System on AppStore Part One

高清小视频

<img src= "" alt="">

Recommendation System on AppStore Part Two

High Quality Video

<img src= "" alt="">

Build a Recommendation System

High Quality Video

<img src= "" alt="">

Spark Series Videos

High Quality Video

Outstanding Projects

BT Hollywood

Movie Rating with Collaborative Filtering. Featuring two ways of implementation - Python + PySpark & Scala + Spark.

Source Code