Website Optimization through Mining User Navigational Pattern

TL;DR

This paper introduces an algorithm to mine user navigational patterns on websites, helping improve site structure and marketing by analyzing common user paths and backtracking behavior.

Contribution

It proposes a novel method for identifying key navigation points and user paths, enhancing website optimization strategies.

Findings

Identifies Intermediate Reference Locations in user navigation.

Improves understanding of user behavior for website restructuring.

Facilitates targeted marketing based on navigation patterns.

Abstract

With the World Wide Web's ubiquity increase and the rapid development of various online businesses, the complexity of web sites grow. The analysis of web user's navigational pattern within a web site can provide useful information for server performance enhancements, restructuring a website and direct marketing in e-commerce etc. In this paper, an algorithm is proposed for mining such navigation patterns. The key insight is that users access information of interest and follow a certain path while navigating a web site. If they don't find it, they would backtrack and choose among the alternate paths till they reach the destination. The point they backtrack is the Intermediate Reference Location. Identifying such Intermediate locations and destinations out of the pattern will be the main endeavor in the rest of this report.