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Download PDF by Maristella Agosti (auth.), Massimo Melucci, Ricardo: Advanced Topics in Information Retrieval

By Maristella Agosti (auth.), Massimo Melucci, Ricardo Baeza-Yates (eds.)

ISBN-10: 3642209459

ISBN-13: 9783642209451

Information retrieval is the technological know-how concerned about the powerful and effective retrieval of records ranging from their semantic content material. it really is hired to satisfy a few info desire from a great number of electronic files. Given the ever-growing quantity of files to be had and the heterogeneous information constructions used for garage, details retrieval has lately confronted and tackled novel applications.

In this publication, Melucci and Baeza-Yates current a wide-spectrum representation of contemporary learn leads to complex parts with regards to info retrieval. Readers will locate chapters on e.g. aggregated seek, electronic ads, electronic libraries, discovery of junk mail and evaluations, info retrieval in context, multimedia source discovery, quantum mechanics utilized to info retrieval, scalability demanding situations in internet se's, and interactive details retrieval review. All chapters are written via recognized researchers, are thoroughly self-contained and entire, and are complemented by way of an built-in bibliography and topic index.

With this feature, the editors give you the latest survey of themes often no longer addressed extensive in conventional (text)books on info retrieval. The presentation is meant for a large viewers of individuals attracted to info retrieval: undergraduate and graduate scholars, post-doctoral researchers, academics, and commercial researchers.

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News search engine interface . . . . . . . . . . Sammon map for cluster-guided search . . . . . . . . Dendro Map—A plane-spanning binary tree (query “Beethoven”) . . . . . . . . . . . . . . . Radial visualisation . . . . . . . . . . . . . Visual search for images of dark doors starting with a bright-door example . . . . . . . . . . . . . . . . A relevance feedback . . . . . . . . . . . . Lateral browsing for an image “from behind the pitcher in a baseball game .

Com/. B. Cambazoglu ( ) · R. Baeza-Yates Yahoo! com R. B. com/Berkant_Barla_Cambazoglu R. cl M. Melucci, R. B. Cambazoglu and R. Baeza-Yates Given the very high rate of growth in the number of web pages and the number of issued queries, the scalability of large-scale search engines becomes a real challenge. Increasing the investment on hardware in order to cope with this growth has certain financial implications for search engine companies. Therefore, designing efficient and scalable search systems is crucial to reduce the running cost of web search engines.

Geo-temporal browsing in action . . . . . . . . . Ambisense model of context . . . . . . . . . . . Google’s Related searches . . . . . . . . . . . Keywords in context . . . . . . . . . . . . . Website structure . . . . . . . . . . . . . . Bing query suggestion tool . . . . . . . . . . . 117 118 119 137 143 144 147 148 159 160 160 164 166 167 168 170 171 174 176 177 177 179 180 182 183 184 189 193 193 193 194 xxx Fig.

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Advanced Topics in Information Retrieval by Maristella Agosti (auth.), Massimo Melucci, Ricardo Baeza-Yates (eds.)


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