News recommendation is an important technique for personalized news service. Compared
with product and movie recommendations which have been comprehensively studied, the …

Online news recommender systems aim to address the information explosion of news and
make personalized recommendation for users. In general, news language is highly …

Many websites over the Internet are producing a variety of textual data; such as news,
research articles, ebooks, personal blogs, and user reviews. In these websites, the textual …

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 …

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

Personalized news recommendation is an important technology to help users obtain news
information they are interested in and alleviate information overload. In recent years, news …

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 …

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' …

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 …