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Revealing Relationships in Search Engine Results by Cláudio Max. Zaina; M. Cecília C. Baranauskas is a scholarly article available to read on EtoBox.

What is Revealing Relationships in Search Engine Results about?

The amount of information available in the Internet is so vast that finding the desired information in such an unstructured repository easily becomes a tedious task. Graphical cluster-based representations of results from search engines shift the user's mental load from slower thought-intensive processes of reading information got from linear lists of results to faster perceptual processes such as pattern recognition in a visual display. In this paper we investigate the subject by presenting the design proposal of a new system that uses concepts of Information Visualization to help the user of Internet search engines to identify the group of documents that are related to the needed information by examining or browsing documents in the group. Some results of preliminary usability tests for the system are also provided shedding some light to the subject.

Author

Cláudio Max. Zaina; M. Cecília C. Baranauskas

Publisher

ACM Press

Published

2005

Language

EN