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 579,555 repositories, of these snowch/movie-recommender-demo is ranked #288,583 (50th percentile) for total stargazers, and #190,647 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,042/16,901.

snowch/movie-recommender-demo is also tagged with popular topics, for these it's ranked: machine-learning (#4,700/7877), redis (#1,084/1694), kafka (#481/837), jupyter-notebook (#376/609), spark (#332/532), notebook (#187/274), hadoop (#105/178)

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.

All Topics

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

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