TY - GEN
T1 - Collaborative information seeking with ant colony ranking in real-time
AU - Turchi, Tommaso
AU - Malizia, Alessio
AU - Castellucci, Paola
AU - Olsen, Kai
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84978196207&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-41938-1_12
DO - 10.1007/978-3-319-41938-1_12
M3 - Conference contribution
AN - SCOPUS:84978196207
SN - 9783319419374
VL - 612
T3 - Communications in Computer and Information Science
SP - 104
EP - 115
BT - Digital Libraries on the Move - 11th Italian Research Conference on Digital Libraries, IRCDL 2015, Revised Selected Papers
PB - Springer Nature Link
T2 - 11th Italian Research Conference on Digital Libraries, IRCDL 2015
Y2 - 29 January 2015 through 30 January 2015
ER -