Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
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Updated
Jul 11, 2019 - Jupyter Notebook
Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
The Implementation of "FISM: Factored Item Similarity Models for Top-N Recommender Systems"
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"
Machine learning- based solution to the problem of duplicity in the bug reports repository.
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Must-read Papers for Recommender Systems (RS)
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Implementation of z-scoREC and ImposeSVD for top-N recommendations
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.
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
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