Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/13248
Title: Collaborative information seeking with ant colony ranking in real-time
Authors: Turchi, T
Malizia, A
Castellucci, P
Olsen, K
Keywords: Swarm Intelligence;Ant Colony Optimization technique;Ranking algorithm
Issue Date: 2016
Publisher: Springer International Publishing
Citation: Communications in Computer and Information Science, 612: pp. 104 - 115, (2016)
Abstract: In this paper we propose a new ranking algorithm based on Swarm Intelligence, more specifically on the Ant Colony Optimization technique, to improve search engines’ performances and reduce the information overload by exploiting users’ collective behavior. We designed an online evaluation involving end users to test our algorithm in a real-world scenario dealing with informational queries. The development of a fully working prototype – based on the Wikipedia search engine – demonstrated promising preliminary results.
URI: http://link.springer.com/chapter/10.1007%2F978-3-319-41938-1_12
http://bura.brunel.ac.uk/handle/2438/13248
DOI: http://dx.doi.org/10.1007/978-3-319-41938-1_12
ISBN: 9783319419374
ISSN: 1865-0929
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf164.82 kBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.