An Experimental Study to Identify the Impact of Expert Filter Tokens for Syllabus Based Searches

Authors

S.A.M Rizvi, Department of Computer Science Jamia Millia Islamia
Saba Hilal, DAV Institute of Management

Abstract

People search using search engines like Google. While specifying the query, some other words (filter tokens) are used with the topic being searched. These help in the filtering of the relevant and effective search results. SBWCE is being developed to make the Syllabus based Web Content Extraction easy and automatic. As SBWCE is based on using Expert Filter Tokens, there was a need to study their impact. Therefore, a framework to study the impact of these expert filter tokens was used on ‘Computer Organization and Assembly Language’, for experimental study. This paper presents the related details.

Recommended Citation

Rizvi, S.A.M and Hilal, Saba (2007) "An Experimental Study to Identify the Impact of Expert Filter Tokens for Syllabus Based Searches," Communications of the IIMA: Vol. 7: Iss. 3, Article 4.
DOI: https://doi.org/10.58729/1941-6687.1044
Available at: https://scholarworks.lib.csusb.edu/ciima/vol7/iss3/4