An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
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Updated
Jun 1, 2022 - Python
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Must-read Papers for Recommender Systems (RS)
Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
Machine learning- based solution to the problem of duplicity in the bug reports repository.
This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems".
TensorFlow2 Implementation of "Neural Attentive Item Similarity Model for Recommendation"
The Implementation of "FISM: Factored Item Similarity Models for Top-N Recommender Systems"
Implementation of z-scoREC and ImposeSVD for top-N recommendations
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