@inproceedings{496bd176f6434622b7e5a66b4d896660,
title = "Collaborative information seeking with ant colony ranking in real-time",
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{\textquoteright} performances and reduce the information overload by exploiting users{\textquoteright} 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.",
author = "Tommaso Turchi and Alessio Malizia and Paola Castellucci and Kai Olsen",
year = "2016",
doi = "10.1007/978-3-319-41938-1_12",
language = "English",
isbn = "9783319419374",
volume = "612",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "104--115",
booktitle = "Digital Libraries on the Move - 11th Italian Research Conference on Digital Libraries, IRCDL 2015, Revised Selected Papers",
address = "Netherlands",
note = "11th Italian Research Conference on Digital Libraries, IRCDL 2015 ; Conference date: 29-01-2015 Through 30-01-2015",
}