recommendation-algorithm VS RecBole

Compare recommendation-algorithm vs RecBole 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)
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recommendation-algorithm RecBole
2 3
71 3,163
- 2.2%
0.0 8.4
almost 2 years ago 20 days 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.

RecBole

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

What are some alternatives?

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

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

Laravel - Laravel is a web application framework with expressive, elegant syntax. We’ve already laid the foundation for your next big idea — freeing you to create without sweating the small things.

PFoodReq - Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"

pcbr-demo - Github Action powered repository that automatically converts raw tables into neat Markdown and YFM pages for PCBR algorithm demo purposes

RecSysDatasets - This is a repository of public data sources for Recommender Systems (RS).

Laravel - The Laravel Framework.

torchdrug - A powerful and flexible machine learning platform for drug discovery

qagnn - [NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

ranking - Learning to Rank in TensorFlow