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News recommender system: a review of recent progress, challenges, and opportunities
Nowadays, more and more news readers read news online where they have access to
millions of news articles from multiple sources. In order to help users find the right and …
millions of news articles from multiple sources. In order to help users find the right and …
Deep learning in news recommender systems: A comprehensive survey, challenges and future trends
Nowadays, people prefer to read news articles from online sources worldwide due to their
easiness and availability. For the last few years, online searching for required information or …
easiness and availability. For the last few years, online searching for required information or …
DRN: A deep reinforcement learning framework for news recommendation
In this paper, we propose a novel Deep Reinforcement Learning framework for news
recommendation. Online personalized news recommendation is a highly challenging …
recommendation. Online personalized news recommendation is a highly challenging …
NPA: neural news recommendation with personalized attention
News recommendation is very important to help users find interested news and alleviate
information overload. Different users usually have different interests and the same user may …
information overload. Different users usually have different interests and the same user may …
Neural news recommendation with attentive multi-view learning
Personalized news recommendation is very important for online news platforms to help
users find interested news and improve user experience. News and user representation …
users find interested news and improve user experience. News and user representation …
News recommender systems–Survey and roads ahead
More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …
newspapers or by navigating the sites of news aggregators. However, the abundance of …
[PDF][PDF] UNBERT: User-News Matching BERT for News Recommendation.
Nowadays, news recommendation has become a popular channel for users to access news
of their interests. How to represent rich textual contents of news and precisely match users' …
of their interests. How to represent rich textual contents of news and precisely match users' …
Graph neural news recommendation with long-term and short-term interest modeling
With the information explosion of news articles, personalized news recommendation has
become important for users to quickly find news that they are interested in. Existing methods …
become important for users to quickly find news that they are interested in. Existing methods …
Dan: Deep attention neural network for news recommendation
With the rapid information explosion of news, making personalized news recommendation
for users becomes an increasingly challenging problem. Many existing recommendation …
for users becomes an increasingly challenging problem. Many existing recommendation …
The rise of guardians: Fact-checking url recommendation to combat fake news
A large body of research work and efforts have been focused on detecting fake news and
building online fact-check systems in order to debunk fake news as soon as possible …
building online fact-check systems in order to debunk fake news as soon as possible …