Carleton University - School of Computer Science Honours Project
Winter 2021
Metasearch Engine Design and Evaluate
Jiange Gu
SCS Honours Project Image
ABSTRACT
This paper introduces a newly developed metasearch engine that integrates results from Google and Bing. Unlike some of the metasearch engines, which offer privacy protection, this engine focuses on providing convenience to users, which can be improved further to provide additional creative or unique features to attract users with special needs. The metasearch engine was developed using React and JavaScript, and the engine has 3 pages with each of them handling one part of the engine. Detailed design and implementation process are being explained with screenshots. To be able to evaluate the engine, an assessment criteria is presented to help recognize strength and weakness of the engine, and reasonable solutions are given to overcome shortcomings. Individual search engines with different functionalities tend to have expertises on one or more areas but not all. Although the core feature of an individual search engine remains the same, extra features can be brain-stormed so that users can split their searching needs into multiple individual search engines. With each individual search engine capable of one or more specified areas, integrating them into one metasearch engine brings a powerful searching and usage experience.