Intelligent Anticipated Exploration of Web Sites

TL;DR

This paper introduces GSA, an advanced web search agent that combines multiple search techniques, anticipates exploration, and refines queries to improve the quality of web search results.

Contribution

The paper presents GSA, a novel web search agent integrating multiple techniques for enhanced search relevance and user experience.

Findings

GSA outperforms traditional search engines in relevance and quality.

GSA effectively merges results from different search engines.

Experimental results demonstrate improved user satisfaction.

Abstract

In this paper we describe a web search agent, called Global Search Agent (hereafter GSA for short). GSA integrates and enhances several search techniques in order to achieve significant improvements in the user-perceived quality of delivered information as compared to usual web search engines. GSA features intelligent merging of relevant documents from different search engines, anticipated selective exploration and evaluation of links from the current result set, automated derivation of refined queries based on user relevance feedback. System architecture as well as experimental accounts are also illustrated.