Andreea Iana


2023

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NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation
Andreea Iana | Goran Glavaš | Heiko Paulheim
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

NewsRecLib is an open-source library based on Pytorch-Lightning and Hydra developed for training and evaluating neural news recommendation models. The foremost goals of NewsRecLib are to promote reproducible research and rigorous experimental evaluation by (i) providing a unified and highly configurable framework for exhaustive experimental studies and (ii) enabling a thorough analysis of the performance contribution of different model architecture components and training regimes. NewsRecLib is highly modular, allows specifying experiments in a single configuration file, and includes extensive logging facilities. Moreover, NewsRecLib provides out-of-the-box implementations of several prominent neural models, training methods, standard evaluation benchmarks, and evaluation metrics for news recommendation.