Project Summary
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).
In a Nutshell, movie-recommender-demo...
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took an estimated 1 years of effort (COCOMO model)
starting with its first commit in January, 2017
ending with its most recent commit over 1 year ago
Quick Reference
Apache License 2.0
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These details are provided for information only. No information here is legal advice and should not be used as such.
This Project has No vulnerabilities Reported Against it
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