Heewon-Hailey / multi-armed-bandits-for-recommendation-systems

implement basic and contextual MAB algorithms for recommendation system

Date Created 2022-01-03 (2 years ago)

Commits 7 (last one 2 years ago)

Stargazers 32 (0 this week)

Watchers 3 (0 this week)

Forks 8

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RepositoryStats indexes 565,600 repositories, of these Heewon-Hailey/multi-armed-bandits-for-recommendation-systems is ranked #535,128 (5th percentile) for total stargazers, and #413,967 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,950/16,305.

Heewon-Hailey/multi-armed-bandits-for-recommendation-systems is also tagged with popular topics, for these it's ranked: python (#20,641/21424), numpy (#515/528), scikit-learn (#336/343), matplotlib (#291/299), recommendation-system (#107/116)

Other Information

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All Topics

numpy python matplotlib scikit-learn epsilon-greedy contextual-bandits multiarmed-bandits recommendation-system upper-confidence-bounds

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7 commits on the default branch (main) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-07-11 @ 07:17am, id: 443935262 / R_kgDOGnXqHg