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 57

License apache-2.0

Ranking

RepositoryStats indexes 534,551 repositories, of these snowch/movie-recommender-demo is ranked #272,266 (49th percentile) for total stargazers, and #185,227 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #6,462/14,929.

snowch/movie-recommender-demo is also tagged with popular topics, for these it's ranked: machine-learning (#4,466/7371), redis (#1,048/1621), kafka (#466/779), jupyter-notebook (#357/568), spark (#317/506), notebook (#181/258), hadoop (#106/171)

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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Github watchers over time, collection started in '23

Recent Commit History

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

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Languages

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

updated: 2024-06-19 @ 11:50am, id: 78864895 / R_kgDOBLNh_w