ACO approaches for large scale information retrieval | IEEE Conference Publication | IEEE Xplore

ACO approaches for large scale information retrieval


Abstract:

This paper presents two ACO algorithms for information retrieval. Unlike existing works, the proposed algorithms address the problem for large scale data sets. The algori...Show More

Abstract:

This paper presents two ACO algorithms for information retrieval. Unlike existing works, the proposed algorithms address the problem for large scale data sets. The algorithms and a classical information retrieval method have been implemented for comparison purposes. Experimentations have been conducted on smart collections and random benchmarks. Numerical results show that for small collections of documents the classical approach is faster than ACO algorithms whereas for large scale data, ACO is much more interesting in terms of runtime and performs as well as the exhaustive search. The novel outcome of this study consists in determining the frontier in terms of collection size from which ACO outperforms the classical information retrieval algorithm especially from the runtime point of view.
Date of Conference: 09-11 December 2009
Date Added to IEEE Xplore: 22 January 2010
Print ISBN:978-1-4244-5053-4
Conference Location: Coimbatore, India

References

References is not available for this document.