34 citations · 111 across the 25 of their papers we have counts for
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cs.IR2023
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
Andreea Iana, Goran Glavaš, Heiko Paulheim
Recent neural news recommenders (NNRs) extend content-based recommendation (1) by aligning additional aspects (e.g., topic, sentiment) between candidate news and user history or (2…
cs.IR2023★ 1 cited
Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives
Andreea Iana, Goran Glavaš, Heiko Paulheim
The advent of personalized news recommendation has given rise to increasingly complex recommender architectures. Most neural news recommenders rely on user click behavior and typic…