Papers by Andreea Iana
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation (2024.findings-emnlp)
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| Challenge: | Recent neural news recommenders (NNRs) extend content-based recommendation by aligning additional aspects between candidate news and user history or diversifying recommendations w.r.t. these aspects require retraining of the model with a modified objective. |
| Approach: | They introduce a modular framework for multi-aspect neural news recommendation that supports on-the-fly customization over individual aspects at inference time. |
| Outcome: | The proposed framework outperforms state-of-the-art NNRs on both content-based recommendation and single- and multi-aspect customization. |
NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation (2023.emnlp-demo)
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| Challenge: | Existing open source repositories expose a multitude of programming languages, libraries, and implementation differences, hindering reproducibility and extensibility. |
| Approach: | NewsRecLib is an open-source library for training and evaluating neural news recommendation models. |
| Outcome: | The open-source library provides implementations of several prominent neural models, training methods, standard evaluation benchmarks, and evaluation metrics for news recommendation. |