The author of this book first reviews the major approaches to learning to rank. For each approach he presents the basic framework, with example algorithms. Scientific theoretical soundness is combined with broad development and application experiences.
In this book, some fifteen well-known data mining professionals give their answers to such questions as What are your notable success stories? and How did you learn from your failures? The contributors also offer real-world advice on career planning.
This book describes the current state of video search engine technology and details the opportunities to contribute to the development of this field. It brings readers up to date on the state of the art in multimedia search technologies and systems.
Information Retrieval Architecture and Algorithms presents a practical examination of the latest developments and applications in the field. The text stresses the current migration of information retrieval from text only to multimedia, expounding upon multimedia search, retrieval and display.
Here is a collection of texts centered on the evaluation of image retrieval systems. Highlights issues and challenges in evaluating image retrieval systems and describes various initiatives that provide researchers with the necessary evaluation resources.
This book explores security risks and vulnerabilities of computer networks and networked devices, offering improved algorithms and best practices for enhancing system security. This revised, updated edition encompasses agile mobile systems and social networks.