DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
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Updated
Feb 26, 2024
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
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.
Implementation of z-scoREC and ImposeSVD for top-N recommendations
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Must-read Papers for Recommender Systems (RS)
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Machine learning- based solution to the problem of duplicity in the bug reports repository.
TensorFlow2 Implementation of "Neural Attentive Item Similarity Model for Recommendation"
This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems".
The Implementation of "FISM: Factored Item Similarity Models for Top-N Recommender Systems"
Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
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