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What is Information Filtering System

Handbook of Research on Text and Web Mining Technologies
An information filtering system is a system that removes redundant or unwanted information from an information stream using (semi)automated or computerized methods prior to presentation to a human user. Its main goal is the management of the information overload and increment of the semantic signal-to-noise ratio.
Published in Chapter:
Automatic Reference Tracking
G.S. Mahalakshmi (Anna University, Chennai, India) and S. Sendhilkumar (Anna University, Chennai, India)
Copyright: © 2009 |Pages: 17
DOI: 10.4018/978-1-59904-990-8.ch029
Abstract
Automatic reference tracking involves systematic tracking of reference articles listed for a particular research paper by extracting the references of the input seed publication and further analyzing the relevance of the referred paper with respect to the seed paper. This tracking continues recursively with every reference paper being assumed as seed paper at every track level until the system finds any irrelevant (or far relevant) references deep within the reference tracks which does not help much in the understanding of the input seed research paper at hand. The relevance is analysed based on the keywords collected from the title and abstract of the referred article. The objective of the reference tracking system is to automatically list down closely relevant reference articles to aid the understanding of the seed paper thereby facilitating the literature survey of the aspiring researcher. This paper proposes the system design and evaluation of automatic reference tracking system discussing the observations obtained.
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