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 584,777 repositories, of these snowch/movie-recommender-demo is ranked #290,771 (50th percentile) for total stargazers, and #191,147 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,108/17,124.

snowch/movie-recommender-demo is also tagged with popular topics, for these it's ranked: machine-learning (#4,730/7935), redis (#1,090/1701), kafka (#482/839), jupyter-notebook (#377/611), spark (#334/536), notebook (#189/278), hadoop (#105/180)

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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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: 2024-09-15 @ 01:24pm, id: 78864895 / R_kgDOBLNh_w