With the explosion of news information, personalized news recommendation has become
very important for users to quickly find their interested contents. Most existing methods …

Personalized news recommendations can alleviate the information overload problem. To
enable personalized recommendation, one critical step is to learn a comprehensive user …

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 …

With the explosion of online news, personalized news recommendation becomes
increasingly important for online news platforms to help their users find interesting …

Personalized news recommendation is important to help users find their interested news
and improve reading experience. A key problem in news recommendation is learning …

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 …

News recommendation is important for online news platforms to help users find interested
news and alleviate information overload. Existing news recommendation methods usually …

Precisely recommending candidate news articles to users has always been a core
challenge for personalized news recommendation systems. Most recent works primarily …

High-quality news recommendation heavily relies on accurate and timely representations of
news documents and user interests. Social information, which usually contains the most …

Personalized news recommendation is very important for online news platforms to help
users find interested news and improve user experience. News and user representation …