matrix-factorization VS LightFM

Compare matrix-factorization vs LightFM and see what are their differences.


Library for matrix factorization for recommender systems using collaborative filtering (by Quang-Vinh)


A Python implementation of LightFM, a hybrid recommendation algorithm. (by lyst)
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matrix-factorization LightFM
1 0
19 4,587
- 0.6%
2.9 4.8
6 months ago 4 months ago
Python Python
MIT License Apache License 2.0
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.


Posts with mentions or reviews of matrix-factorization. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-26.


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

We haven't tracked posts mentioning LightFM yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing matrix-factorization and LightFM you can also consider the following projects:

Surprise - A Python scikit for building and analyzing recommender systems

tensorflow - An Open Source Machine Learning Framework for Everyone

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

MLflow - Open source platform for the machine learning lifecycle

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

spotlight - Deep recommender models using PyTorch.

Keras - Deep Learning for humans

Crab - Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

scikit-learn - scikit-learn: machine learning in Python

python-recsys - A python library for implementing a recommender system

gym - A toolkit for developing and comparing reinforcement learning algorithms.

awesome-embedding-models - A curated list of awesome embedding models tutorials, projects and communities.