recommendation-algorithm VS movie-recommender

Compare recommendation-algorithm vs movie-recommender and see what are their differences.

recommendation-algorithm

Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa. (by tigoCaval)

movie-recommender

Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface (by lorenanda)
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recommendation-algorithm movie-recommender
2 1
50 4
- -
0.0 4.3
4 months ago almost 2 years ago
PHP Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

recommendation-algorithm

Posts with mentions or reviews of recommendation-algorithm. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning recommendation-algorithm yet.
Tracking mentions began in Dec 2020.

movie-recommender

Posts with mentions or reviews of movie-recommender. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-06.

What are some alternatives?

When comparing recommendation-algorithm and movie-recommender you can also consider the following projects:

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

RecBole - A unified, comprehensive and efficient recommendation library

mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.