movie-recommender-demo
snowch
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).
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6 data points · 2021-08-01 → 2023-05-01How do you feel about this project?
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Question copied to clipboardWhat is the snowch/movie-recommender-demo GitHub project? Description: "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).". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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