University of Houston
Department of Computer Science
In partial fulfillment of the Requirements for the Degree of
Master of Science
Jinyun Shen
will defend his thesis
Type and Specialty Classification of Search Engines
An Implementation of Information Retrieval System
Based On Category Concept Hierarchy
Abstract
Because of the world
wide web, information retrieval (IR) systems are now used by millions of
untrained users as well as experts all over the world. The search engines that
perform IR tasks, often retrieve thousands of potentially interesting documents
to a query.
To find out which is the best search engine that meets users’ specific requirement,
this paper introduces a method to classify type
and specialty of certain search engines that is based on vector space model of Information Retrieval and a
category concept. The approach uses cosine
formula for calculating the similarity between a query and a retrieved document
as of vector space model. Using a java program developed for this thesis,
several experiments have been done and the results have been analyzed.
Conclusion is user can improve search results by picking appropriate general purpose or
specific purpose search engines detected by method introduced in this paper.
Date: Friday, October 26, 2001
Time: 1:30 PM
Place: 550-PGH
Faculty, students, and the general public are invited.
Thesis Advisor: Dr. Olin Johnson