Serendipitous recommendations have emerged as a compelling approach to deliver users
with unexpected yet valuable information, contributing to heightened user satisfaction and …

Psychological curiosity plays a significant role in human intelligence to enhance learning
through exploration and information acquisition. In the Artificial Intelligence (AI) community …

Users often encounter tedious recommendations as they are continuously exposed to the
recommendation system. In response to this issue, serendipity in a recommendation system …

Three directions for the AI avant-garde are sketched against the background of time.
Posthumanism changes what we are, and belongs to the radical future. Transhumanism …

Today's recommender systems are criticized for recommending items that are too obvious to
arouse users' interests. Therefore, the research community has advocated some “beyond …

Choosing what to eat requires navigating a large volume of information and various
competing factors. While recommendation systems are an effective approach to assist users …

It is difficult for users to understand the complex cloud product information for product
selection. Using this information to recommend satisfactory cloud products is a challenge …

User experience, which encompasses users' feelings and perceptions, is regarded as a key
element in the evaluation of recommender systems. The existing literature extensively works …

Users face many challenges in keeping their personal file collections organized. While
current file-management interfaces help users retrieve files in disorganized repositories …

In the recommender systems field, it is increasingly recognized that focusing on accuracy
measures is limiting and misguided. Unsurprisingly, in recent years, the field has witnessed …