Information Retrieval Technology

Modern Information Retrieval

Multimedia Information Retrieval and Management

Multimedia information technologies, which provide comprehensive and intuitive information for a broad range of applications, have a strong impact on modem life, and have changed our way of learning and thinking. Over the past two decades, there has been an explosive growth in the use of digital multimedia (including audio, video, images and graphics) over the Internet and wireless communication. As the use of digital multimedia increases, effective data storage and management become increasingly important. In fields which use large quantities of data (e. g. audio, video, image and digital libraries; geographical and medical image databases; etc), we need to minimize the volume of data stored while meeting the often conflicting demand for accurate data representation. In addition, the data need to be managed such that it facilitates efficient searching, browsing and cooperative work. This area has been a very active research area in recent years. This book will provide readers with an up-to-date and comprehensive picture of cutting edge technologies in multimedia information retrieval and management, which directly affect our industry, economy and social life The book is divided into two major parts: Technological Fundamentals which covers the core theories of the area; and Applications which describes the broad range of practical uses for this technology.

Introduction to Information Retrieval

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.