Guided Google: A Meta Search Engine and its Implementation using the Google Distributed Web Services
Distributed, Parallel, and Cluster Computing
2007-05-23 v1
Abstract
With the advent of the Internet, search engines have begun sprouting like mushrooms after a rainfall. Only in recent years, have developers become more innovative, and came up with guided searching facilities online. The goals of these applications are to help ease and guide the searching efforts of a novice web user toward their desired objectives. A number of implementations of such services are emerging. This paper proposes a guided meta-search engine, called "Guided Google", as it serves as an interface to the actual Google.com search engine, using the Google Web Services.
Cite
@article{arxiv.cs/0302018,
title = {Guided Google: A Meta Search Engine and its Implementation using the Google Distributed Web Services},
author = {Ding Choon Hoong and Rajkumar Buyya},
journal= {arXiv preprint arXiv:cs/0302018},
year = {2007}
}
Comments
Technical Report, Grid Computing and Distributed Systems (GRIDS) Lab, Dept. of Computer Science and Software Engineering, The University of Melbourne, Australia