Comparative analysis of various web crawler algorithms
Nithin T K Chandana S Barani G Chavva Dharani M S Karishma
This presentation focuses on the importance of web crawling and page ranking
algorithms in dealing with the massive amount of data present on the World Wide
Web. As the web continues to grow exponentially, efficient search and retrieval
methods become crucial. Web crawling is a process that converts unstructured
data into structured data, enabling effective information retrieval.
Additionally, page ranking algorithms play a significant role in assessing the
quality and popularity of web pages. The presentation explores the background
of these algorithms and evaluates five different crawling algorithms: Shark
Search, Priority-Based Queue, Naive Bayes, Breadth-First, and Depth-First. The
goal is to identify the most effective algorithm for crawling web pages. By
understanding these algorithms, we can enhance our ability to navigate the web
and extract valuable information efficiently.