top-n-recommendations

evfro/polara

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.

makgyver/rectorch

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

hegongshan/Recommender-Systems-Paper

Must-read Papers for Recommender Systems (RS)

evfro/recsys19_hybridsvd

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

fajieyuan/recommendation_dataset_pretraining

DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation

edervishaj/gan-mf-thesis

This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems".

MastersProject/fast-detection-of-duplicate-bug-report

Machine learning- based solution to the problem of duplicity in the bug reports repository.

hegongshan/neural_attentive_item_similarity

TensorFlow2 Implementation of "Neural Attentive Item Similarity Model for Recommendation"

hegongshan/factored_item_similarity_models

The Implementation of "FISM: Factored Item Similarity Models for Top-N Recommender Systems"

yasaminaali/Movie_Recommendation_System

yilmazerhakan/ImposeSVD

Implementation of z-scoREC and ImposeSVD for top-N recommendations