recommendation-algorithm VS RecBole

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


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 2
50 2,107
- 2.6%
0.0 8.7
4 months ago 9 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.
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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.


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

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

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

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

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

spotlight - Deep recommender models using PyTorch.

ranking - Learning to Rank in TensorFlow

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.

GraphNorm - The official implementation of Graph Normalization

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