movie-recommender-demo
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).
How to download and setup movie-recommender-demo
Open terminal and run command
git clone https://github.com/snowch/movie-recommender-demo.git
git clone is used to create a copy or clone of movie-recommender-demo repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with movie-recommender-demo https://github.com/snowch/movie-recommender-demo/archive/master.zip
Or simply clone movie-recommender-demo with SSH
[email protected]:snowch/movie-recommender-demo.git
If you have some problems with movie-recommender-demo
You may open issue on movie-recommender-demo support forum (system) here: https://github.com/snowch/movie-recommender-demo/issuesSimilar to movie-recommender-demo repositories
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