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Analyzed about 10 hours ago. based on code collected about 10 hours 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...

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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Languages

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

30 Day Summary

Aug 27 2022 — Sep 26 2022

12 Month Summary

Sep 26 2021 — Sep 26 2022
  • 19 Commits
    Up + 16 (533%) from previous 12 months
  • 2 Contributors
    Up + 1 (100%) from previous 12 months

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