Abstract in atti di convegno, 2013, ENG

Learning to shorten query sessions.

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

Keywords

Query prediction, GBRT, Learning to rank

CNR authors

Nardini Franco Maria, Muntean Cristina, Silvestri Fabrizio

CNR institutes

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 links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

URL: http://dl.acm.org/citation.cfm?id=2487851

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:277508

Scopus: 2-s2.0-84893097321

PUMA: 2013-A6-012