Distilling relevant documents by means of dynamic quantum clustering

Authors:
Emanuele Di Buccio;Giorgio Maria Di Nunzio
Affiliations:
Department of Information Engineering, University of Padua, Padua, Italy;Department of Information Engineering, University of Padua, Padua, Italy
Venue:
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Year:
2011

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Abstract

Dynamic Quantum Clustering (DQC) is a recent clustering technique based on physical intuition from quantum mechanics. Clusters are identified as the minima of the potential function of the Schrödinger equation. In this poster, we apply this technique to explore the possibility to select highly relevant documents relative to a query of a user. In particular, we analyze the clusters produced by DQC with a standard test collection.