Learning informative representations of users and items from the interaction data is of crucial
importance to collaborative filtering (CF). Present embedding functions exploit user-item …

新闻推荐(NR) 可以有效缓解新闻信息过载, 是当今人们获取新闻资讯的重要方式,
而深度学习(DL) 成为近年来促进新闻推荐发展的主流技术, 使新闻推荐的效果得到显著提升 …

News recommendation for anonymous readers is a useful but challenging task for many
news portals, where interactions between readers and articles are limited within a temporary …

In recent years, short video platforms have gained widespread popularity, making the quality
of video recommendations crucial for retaining users. Existing recommendation systems …

Calibration in recommender systems ensures that the user's interests distribution over
groups of items is reflected with their corresponding proportions in the recommendation …

Short video~(SV) online streaming has been one of the most popular Internet applications in
recent years. When browsing SVs, users gradually immerse themselves and derive …

The generation of large amounts of personal data provides data centers with sufficient
resources to mine idiosyncrasy from private records. User modeling has long been a …

Online news streaming services have been one of the major information acquisition
resources for mobile users. In many cases, users click an article but find it cannot satisfy or …

Media is evolving from traditional linear narratives to personalised experiences, where
control over information (or how it is presented) is given to individual audience members …

We explore whether interactive navigational behaviours can be used as a reliable and
effective source to measure the progress, achievement, and engagement of a learning …