A simple way of improving traditional IR methods by structuring queries
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This work proposes an algorithm that breaks a query up into smaller units, does retrieval on these, and then combines the results, thereby respecting some of the query structure.
Abstract
The traditional vector-space model of information retrieval (IR) treats a query as a structureless whole, a "bag of words", thus failing to capture many finer points. We propose an algorithm that breaks a query up into smaller units, does retrieval on these, and then combines the results, thereby respecting some of the query structure. Experimental results for a standard test collection are given and discussed.