University of Hertfordshire

By the same authors

Collaborative information seeking with ant colony ranking in real-time

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publicationDigital Libraries on the Move - 11th Italian Research Conference on Digital Libraries, IRCDL 2015, Revised Selected Papers
PublisherSpringer Verlag
Pages104-115
Number of pages12
Volume612
ISBN (Print)9783319419374
DOIs
Publication statusPublished - 2016
Event11th Italian Research Conference on Digital Libraries, IRCDL 2015 - Bolzano, Italy
Duration: 29 Jan 201530 Jan 2015

Publication series

NameCommunications in Computer and Information Science
Volume612
ISSN (Print)1865-0929

Conference

Conference11th Italian Research Conference on Digital Libraries, IRCDL 2015
CountryItaly
CityBolzano
Period29/01/1530/01/15

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.

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