GitHub / MaurizioFD / RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Stars: 983
Forks: 248
Open issues: 2
License: agpl-3.0
Language: Python
Size: 216 MB
Dependencies parsed at: Pending
Created at: about 6 years ago
Updated at: 5 months ago
Pushed at: almost 2 years ago
Last synced at: 5 months ago
Topics: bpr, bprmf, bprslim, collaborative-filtering, content-based-recommendation, deep-learning, evaluation-framework, funksvd, hybrid-recommender-system, hyperparameters, knn, matrix-completion, matrix-factorization, neural-network, recommendation-algorithms, recommendation-system, recommender-system, reproducibility, reproducible-research, slimelasticnet