Effects of Information Filters: A Phenomenon on the Web

K. G. Srinivasa, N. Pramod, K. R. Venugopal and L. M. Patnaik
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K. G. Srinivasa: Department of Computer Science and Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India
N. Pramod: Department of Computer Science and Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India
K. R. Venugopal: University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India
L. M. Patnaik: Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, Karnataka, India

International Journal of Information Retrieval Research (IJIRR), 2012, vol. 2, issue 2, 1-12

Abstract: In the Internet era, information processing for personalization and relevance has been one of the key topics of research and development. It ranges from design of applications like search engines, web crawlers, learning engines to reverse image searches, audio processed search, auto complete, etc. Information retrieval plays a vital role in most of the above mentioned applications. A part of information retrieval which deals with personalization and rendering is often referred to as Information Filtering. The emphasis of this paper is to empirically analyze the information filters commonly seen and to analyze their correctness and effects. The measure of correctness is not in terms of percentage of correct results but instead a rational approach of analysis using a non mathematical argument is presented. Filters employed by Google’s search engine are used to analyse the effects of filtering on the web. A plausible solution to the errors of filtering phenomenon is also discussed.

Date: 2012
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