Recommender systems use algorithms to provide users with product or service
recommendations. Recently, these systems have been using machine learning algorithms …

Dealing with uncertain, contradicting, and ambiguous information is still a central issue in
Artificial Intelligence (AI). As a result, many formalisms have been proposed or adapted so …

A key-issue for the effectiveness of collaborative decision support systems is the problem of
the trustworthiness of the entities involved in the process. Trust has been always used by …

The Web has been growing in size and with the proliferation of large-scale collaborative
computing environments, Social Search has become increasingly important. This recent …

Abstract The World Wide Web is growing in size and with the proliferation of large-scale
collaborative computing environments Social search has become increasingly important …

Reputation systems concern soft security dynamics in diverse areas. Trust dynamics in a
reputation system should be stable and adaptable at the same time to serve the purpose …

Limited work exists for the comparison across distinct knowledge-based approaches in
Artificial Intelligence (AI) for non-monotonic reasoning, and in particular for the examination …

Understanding the cognitive and functional behaviour of the brain by its electrical activity is
an important area of research. Electroencephalography (EEG) is a method that measures …

This paper deals with the issue of procrastination in e-learning. Suggested approach is
based on compensating e-learning shortcomings and applying principles of forming a habit …

In the context of a highly volatile web of uneven quality, the identification of content deemed
valuable by end users is of paramount importance. Where page content undergoes rapid …