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Analyzed 22 days ago. based on code collected 22 days ago.

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).

Tags

als bluemix cloudant flask hadoop hive machine-learning redis spark

In a Nutshell, movie-recommender-demo...

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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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Languages

Python
65%
HTML
13%
Scala
11%
4 Other
11%

30 Day Summary

Jun 25 2022 — Jul 25 2022

12 Month Summary

Jul 25 2021 — Jul 25 2022
  • 19 Commits
    Up + 16 (533%) from previous 12 months
  • 2 Contributors
    Up + 1 (100%) from previous 12 months

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