Abstract: In this paper, we present Web search engine, a prototype of a Web search engine that makes heavy use of the structure present in hypertext. Google is designed to crawl, index the Web efficiently, and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at http://google.stanford.edu/ to engineer a search engine is a challenging task. Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms. They answer tens of millions of queries every day. Despite the importance of large-scale search engines on the web, very little academic research has been done on them. Furthermore, due to rapid advance in technology and web proliferation, creating a web search engine today is very different from three years ago. This paper provides an in-depth description of our large-scale web search engine -- the first such detailed public description we know of to date. Apart from the problems of scaling traditional search techniques to data of this magnitude, there are new technical challenges involved with using the additional information present in hypertext to produce better search results. This paper addresses this question of how to build a practical large-scale system that can exploit the additional information present in hypertext. In addition, we look at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.
Keywords: World Wide Web, Search Engines, Information Retrieval, PageRank, Google.
Title: WEB SEARCH ENGINE
Author: Raghav Arora, Rana Rahul Sathyaprakash, Saurabh Rauthan, Shrey Jakhetia
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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