implicit VS movie-recommender

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

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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implicit movie-recommender
3 1
2,949 4
- -
8.0 4.3
5 days ago almost 2 years ago
Python 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.

implicit

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

We haven't tracked posts mentioning implicit 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 implicit and movie-recommender you can also consider the following projects:

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

fastFM - fastFM: A Library for Factorization Machines

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

RecBole - A unified, comprehensive and efficient recommendation library

spotlight - Deep recommender models using PyTorch.

libffm - A Library for Field-aware Factorization Machines

Surprise - A Python scikit for building and analyzing recommender systems

matrix-factorization - Library for matrix factorization for recommender systems using collaborative filtering

recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.

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