snowch / 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).

Date Created 2017-01-13 (7 years ago)

Commits 245 (last one 2 years ago)

Stargazers 100 (0 this week)

Watchers 11 (0 this week)

Forks 56

License apache-2.0

Ranking

RepositoryStats indexes 598,732 repositories, of these snowch/movie-recommender-demo is ranked #295,592 (51st percentile) for total stargazers, and #192,790 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,258/17,660.

snowch/movie-recommender-demo is also tagged with popular topics, for these it's ranked: machine-learning (#4,792/8091), redis (#1,098/1725), kafka (#488/846), jupyter-notebook (#378/619), spark (#336/541), notebook (#193/282), hadoop (#107/182)

Other Information

snowch/movie-recommender-demo has 3 open pull requests on Github, 12 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 2 closed issues.

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Recent Commit History

19 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-12-24 @ 08:09am, id: 78864895 / R_kgDOBLNh_w