Vaibhav67979 / Ecommerce-product-recommendation-system

Product Recommendation System is a machine learning-based project that provides personalized product recommendations to users based on their interaction history, similar users, and also the popularity of products.

Date Created 2023-04-17 (about a year ago)

Commits 25 (last one about a year ago)

Stargazers 82 (0 this week)

Watchers 4 (0 this week)

Forks 24

License mit

Ranking

RepositoryStats indexes 597,394 repositories, of these Vaibhav67979/Ecommerce-product-recommendation-system is ranked #337,097 (44th percentile) for total stargazers, and #377,882 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #8,406/17,610.

Vaibhav67979/Ecommerce-product-recommendation-system is also tagged with popular topics, for these it's ranked: python (#14,404/22362), machine-learning (#5,306/8081), artificial-intelligence (#1,377/2118), e-commerce (#121/205)

Other Information

Homepage URL: http://vaibhav67979.tech/Ecommerce-product-recommendation-system/

All Topics

svd python product e-commerce machine-learning product-recommendation artificial-intelligence e-commerce-product-recommendation-system

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

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Languages

The only known language in this repository is Jupyter Notebook

updated: 2024-12-22 @ 04:08pm, id: 629041902 / R_kgDOJX5q7g