RecBole
RecSysDatasets
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| RecBole | RecSysDatasets | |
|---|---|---|
| 3 | 1 | |
| 3,174 | 708 | |
| 2.6% | 6.1% | |
| 8.4 | 3.9 | |
| 4 days ago | 6 months ago | |
| Python | Python | |
| MIT License | - |
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RecBole
- RecBole – A unified, comprehensive and efficient recommendation library
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Observe differences in the behavior of recommendation models using RecBole
RecBole seems to be a joint project started by the laboratories of Renmin University of China and Peking University, and it appeared on arxiv in November 2020. In August 2021, the module that we provide reached v1.0, and it seems to be used by various people in earnest.
- Help with discussion on GitHub (Python)
RecSysDatasets
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Observe differences in the behavior of recommendation models using RecBole
Now, let's continue to try out RecBole on another data set, the second one being FourSquare NYC. I quote the description from https://github.com/RUCAIBox/RecSysDatasets ↓
What are some alternatives?
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
recbole-item2vec-model - This is a simple item2vec implementation using gensim for recbole( https://recbole.io )
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
recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
ranking - Learning to Rank in TensorFlow
qagnn - [NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
GraphNorm - [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)
spotlight - Deep recommender models using PyTorch.
dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)