Intelligent Anticipated Exploration of Websites: A Summary of Giovambattista Ianni's Research

Title: Intelligent Anticipated Exploration of Websites: A Summary of Giovambattista Ianni's Research

Research Question: How can web search agents be improved to deliver more relevant and precise information to users?

Methodology: The study proposes the Global Search Agent (GSA), an intelligent web search agent that integrates and enhances various search techniques. GSA features include:

1. Intelligent merging of relevant documents from different search engines. 2. Anticipated selective exploration and evaluation of links from the current result set. 3. Automated derivation of refined queries based on user relevance feedback.

Results: The study demonstrates that GSA can significantly improve the quality of delivered information by enhancing recall (coverage) and precision (user-perceived relevance). It also shows that GSA can efficiently explore the web without diminishing precision or recall by using an intelligent selection of "promising" paths.

Implications: The research suggests that web search agents can be improved by incorporating user preferences, anticipatory exploration methods, and intelligent link selection. This could lead to more effective and efficient web search engines that better meet users' information needs.

Link to Article: https://arxiv.org/abs/0111012v1 Authors: arXiv ID: 0111012v1