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COMPUTER SCIENCE

88 Citations2019
Yingchun Zhang, Quanyi Lv, M. Xiao
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The course covers the architecture and components of the search engine such as parser, stemmer, index builder, and query processor and the techniques and theory covering both effectiveness and run-time performance of information-retrieval systems are covered.

Abstract

of fundamental issues of information retrieval with theoretical foundations. The information-retrieval techniques and theory, covering both effectiveness and run-time performance of information-retrieval systems are covered. The focus is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. The course covers the architecture and components of the search engine such as parser, stemmer, index builder, and query processor. The students learn the material by building a prototype of such a search engine. Requires strong programming knowledge. hidden models, in