Personalized multi-head self-attention network for news recommendation
C Zheng, Y Song - Neural Networks, 2025 - Elsevier
With the rapid explosion of online news and user population, personalized news
recommender systems have proved to be efficient ways of alleviating information overload …
recommender systems have proved to be efficient ways of alleviating information overload …
Perception versus Reality: Evaluating User Awareness of Political Selective Exposure in News Recommender Systems
News Recommender Systems (NRSs) have become increasingly pivotal in shaping the
news landscape, particularly in how news is disseminated. This has also led to concerns …
news landscape, particularly in how news is disseminated. This has also led to concerns …
AMIR: An Automated Misinformation Rebuttal System–A COVID-19 Vaccination Datasets-Based Exposition
Misinformation has emerged as a major societal threat in the recent years in general;
specifically in the context of the COVID-19 pandemic, it has wrecked havoc, for instance, by …
specifically in the context of the COVID-19 pandemic, it has wrecked havoc, for instance, by …
How to Diversify any Personalized Recommender? A User-centric Pre-processing approach
In this paper, we introduce a novel approach to improve the diversity of Top-N
recommendations while maintaining recommendation performance. Our approach employs …
recommendations while maintaining recommendation performance. Our approach employs …
Narrative Information Theory
L Schulz, M Patrício, D Odijk - arXiv preprint arXiv:2411.12907, 2024 - arxiv.org
We propose an information-theoretic framework to measure narratives, providing a
formalism to understand pivotal moments, cliffhangers, and plot twists. This approach offers …
formalism to understand pivotal moments, cliffhangers, and plot twists. This approach offers …