Abstract in atti di convegno, 2013, ENG
Muntean C., Nardini F. M., Silvestri F., Sydow M.
CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; Institute of Computer Science,Polish Academy of Sciences and Polish-Japanese Institute of Information Technology, Warsaw. Poland.
We propose the use of learning to rank techniques to shorten query sessions by maximizing the probability that the query we predict is the final query of the current search session. We present a preliminary evaluation showing that this approach is a promising research direction.
WWW '13 - 22nd international Conference on World Wide Web Companion, pp. 131–132, Rio de Janeiro, Brasil, 13-17 Maggio 2013
Query prediction, GBRT, Learning to rank
Nardini Franco Maria, Muntean Cristina, Silvestri Fabrizio
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 277508
Year: 2013
Type: Abstract in atti di convegno
Creation: 2014-02-04 17:15:48.000
Last update: 2015-01-17 22:48:51.000
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:277508
Scopus: 2-s2.0-84893097321
PUMA: 2013-A6-012