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Examines Concepts, Functions & Processes of Information Retrieval Systems
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.
Tun-huang Popular Narratives presents authoritative translations of four vernacular Chinese stories, taken from fragmentary texts usually referred to as pien-wen or 'transformation texts'. Dating from the late T'ang (618-907) and Five Dynasties (907-959) periods, the texts were discovered early last century in a cave at Tun-huang, in Chinese Central Asia. However, written down in an early colloquial language by semi-literate individuals and posing formidable philological problems, the texts have not been studied critically before. Nevertheless they represent the only surviving primary evidence of a widespread and flourishing world of popular entertainment during these centuries. The tales deal with both religious (mostly Buddhist) and secular themes, and make exciting and vivid reading.
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This book presents an experimentally validated probabilistic strength theory of structures made of concrete, composites, ceramics and other quasibrittle materials.