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Decentralized Search and the Clustering Paradox in Large Scale Information Networks
Book chapter

Decentralized Search and the Clustering Paradox in Large Scale Information Networks

Christophe Jouis, Ismail Biskri, Jean-Gabriel Ganascia, Magali Roux and Weimao Ke
Next Generation Search Engines: Advanced Models for Information Retrieval
31 Mar 2012
DOI: https://doi.org/10.4018/978-1-4666-0330-1.ch002

Abstract

Data Mining and Databases Information Retrieval Library Information Science and Technology
Recent technological progress in computer science, Web technologies, and the constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Current search engines employ advanced techniques involving machine learning, social networks, and semantic analysis. Next Generation Search Engines: Advanced Models for Information Retrieval is intended for scientists and decision-makers who wish to gain working knowledge about search in order to evaluate available solutions and to dialogue with software and data providers. The book aims to provide readers with a better idea of the new trends in applied research. Recent technological progress in computer science, Web technologies, and the constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Current search engines employ advanced techniques involving machine learning, social networks, and semantic analysis. Next Generation Search Engines: Advanced Models for Information Retrieval is intended for scientists and decision-makers who wish to gain working knowledge about search in order to evaluate available solutions and to dialogue with software and data providers. The book aims to provide readers with a better idea of the new trends in applied research.

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