Local Popularity based Page Link Analysis

TL;DR

This paper proposes a method to identify and display the most frequently visited links on a webpage to improve user experience and enhance search engine indexing efficiency.

Contribution

It introduces a model for dynamic link page analysis based on local popularity, improving webpage navigation and retrieval system performance.

Findings

Popular links are effectively identified and displayed in prominent page locations.

The approach enhances user satisfaction by reducing navigation time.

The method improves the efficiency of web search and indexing processes.

Abstract

In this paper we introduce the concept of dynamic link pages. A web site/page contains a number of links to other pages. All the links are not equally important. Few links are more frequently visited and few rarely visited. In this scenario, identifying the frequently used links and placing them in the top left corner of the page will increase the user's satisfaction. This process will reduce the time spent by a visitor on the page, as most of the times, the popular links are presented in the visible part of the screen itself. Also, a site can be indexed based on the popular links in that page. This will increase the efficiency of the retrieval system. We presented a model to display the popular links, and also proposed a method to increase the quality of retrieval system.