Conference

A Framework for Automatic Query Expansion

This paper presents a framework and computational model for automatic query expansion using pseudo-relevance feedback. The proposed model aims to enhance retrieval efficiency by addressing key aspects of query expansion in a structured manner. Experiments conducted on the TREC dataset demonstrate improved retrieval performance, highlighting the effectiveness of the approach in refining search results.