RecSysDatasets VS LightFM

Compare RecSysDatasets vs LightFM and see what are their differences.

RecSysDatasets

This is a repository of public data sources for Recommender Systems (RS). (by RUCAIBox)
recommendation-datasets Dataset recbole recommendations recommender-system atomic-files
Source Code
recbole.io
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LightFM

A Python implementation of LightFM, a hybrid recommendation algorithm. (by lyst)
Machine Learning Recommender Python matrix-factorization learning-to-rank recommender-system
Source Code
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RecSysDatasets LightFM
1 -
708 4,604
2.0% 0.5%
3.9 4.8
6 months ago 4 months ago
Python Python
- 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.

RecSysDatasets

Posts with mentions or reviews of RecSysDatasets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-05.

LightFM

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 RecSysDatasets and LightFM you can also consider the following projects:

RecBole - A unified, comprehensive and efficient recommendation library

Surprise - A Python scikit for building and analyzing recommender systems

recbole-item2vec-model - This is a simple item2vec implementation using gensim for recbole( https://recbole.io )

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

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

RecSysDatasets vs RecBole LightFM vs Surprise RecSysDatasets vs recbole-item2vec-model LightFM vs tensorflow LightFM vs implicit LightFM vs MLflow LightFM vs xgboost LightFM vs spotlight LightFM vs Keras LightFM vs Crab LightFM vs scikit-learn LightFM vs matrix-factorization