A recommender system is employed to accurately recommend items, which are expected to
attract the user's attention. The over-emphasis on the accuracy of the recommendations can …

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

Computational creativity composes a collection of activities that are capable of achieving or
simulating behaviors, which can be deemed creative. A frequently articulated criticism for …

Serendipity refers to uncontrolled circumstances that lead to unexpected yet fortunate
discoveries. The phenomenon has been studied extensively in relation to information …

Our natural tendency to be curious is increasingly important now that we are exposed to vast
amounts of information. We often cope with this overload by focusing on the familiar …

Serendipity is one of beyond-accuracy objectives for recommender systems (RSs), which
aims to achieve both relevance and unexpectedness of recommendations, so as to …

Serendipity-oriented recommender systems have increasingly been recognized as useful to
overcome the" filter bubble" problem of accuracy-oriented recommenders, by recommending …

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 …

The term serendipity describes a creative process that develops, in context, with the active
participation of a creative agent, but not entirely within that agent's control. While a system …

Serendipity means unexpected discoveries that are valuable, with positive outcomes
ranging from personal benefits to scientific breakthroughs. This study proposes a cross …