Analysis of Web Crawling Algorithms

Abstract

The web today is huge and enormous collection of data today and it goes on increasing day by day. Thus, searching for some particular data in this collection has a significant impact. Researches taking place give prominence to the relevancy and relatedness of the data that is found. In Spite of their relevance pages for any search topic, the results are still huge to be explored. Another important issue to be kept in mind is the users standpoint differs from time to time from topic to topic. Effective relevance prediction can help avoid downloading and visiting many ir relevant pages. The performance of a crawler depends mostly on the opulence of links in the specific topic being searched. This paper reviews the researches on web crawling algorithms used for searching.