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Sep 22, 2022 · Recommended news articles usually have a sentiment similar to the sentiment orientation of the previously consumed news, creating a self- ...
Sep 22, 2022 · Wu et al. introduced SentiRec – a sentiment diversity-aware neural news recommendation model to counter this lack of diversity.
NewsRecLib is an open-source library based on Pytorch-Lightning and Hydra developed for training and evaluating neural news recommendation models.
Recommended news articles usually have a sentiment similar to the sentiment orientation of the previously consumed news, creating a self-reinforcing cycle of ...
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A sentiment diversity-aware news recommender that aims to counter the lack of sentiment-diversity in personalized news recommendations.
In this paper, we propose a sentiment diversity-aware neural news recommendation approach, which can recommend news with more diverse sentiment. In our approach ...
Missing: Diversifying | Show results with:Diversifying
Dec 18, 2020 · We propose a set of metrics grounded in social science interpretations of diversity and suggest ways for practical implementations. 1 ...
Mar 14, 2021 · This paper aims to bridge the gap between normative notions of diversity, rooted in democratic theory, and quantitative metrics necessary for evaluating the ...
Jun 28, 2024 · This study aims to identify the most effective approaches for generating fair and diverse news recommendations, while addressing the potential negative ...
Full article: Benefits of Diverse News Recommendations for Democracy
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Feb 8, 2022 · A recommender system diversifying exposure to cross-cutting news could increase or reduce openness towards opposing views, given the news ...