This document proposes methods to improve the efficiency of web search engines by introducing context-based searching and a dual role tree structure. It suggests that current search methods often return irrelevant results due to issues with indexing and page ranking algorithms. The authors recommend building a context-based tree based on automated keyword identification and semantic similarity to provide search results grouped by context. This would be combined with the existing DOM tree structure to form a dual role tree. Contexts and attributes would be identified using correlation analysis similar to how ants locate food sources. This proposed approach aims to return more relevant results and improve on existing page ranking methods.