With the enormous amount of information circulating on the Web, it is becoming increasingly
difficult to find the necessary and useful information quickly and efficiently. However, with the …

In this paper, we propose and evaluate a self-optimization strategy for a clustering-based tag
recommendation system. For tag recommendation, we use an efficient discriminative …

With the proliferation of Web 2.0 technologies, folksonomy which is also known as social
tagging or collaborative tagging is widely used by learners to annotate and categorize their …

In this publication we will consider one of the directions in machine learning, namely
clustering. In the modern world, the amount of information is growing at an impressive rate …

Autonomic and autonomous systems exist within a world view of their own. This world view
is created from the training data and assumptions that were available at their inception. In …

Tag recommendation systems are either personalized or non-personalized. Personalized
tag recommendation utilizes a user's tagging behavior from her tagging history for …

The Web is a goldmine of knowledge, but its realization requires effective and efficient
discovery algorithms. Information on the Web ranges from textual documents to social …

The Internet has touched every part of our lives, including our interactions and
communications. Printed books are being replaced by electronic books (e-books), personal …