eprintid: 1910
rev_number: 14
eprint_status: archive
userid: 43
dir: disk0/00/00/19/10
datestamp: 2013-11-13 14:55:15
lastmod: 2013-11-13 14:55:15
status_changed: 2013-11-13 14:55:15
type: conference_item
metadata_visibility: show
creators_name: Ceccarelli, Diego
creators_name: Gordea, Sergiu
creators_name: Lucchese, Claudio
creators_name: Nardini, Franco Maria
creators_name: Perego, Raffaele
creators_id: diego.ceccarelli@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: On Suggesting Entities as Web Search Queries
ispublished: pub
subjects: QA75
subjects: QA76
divisions: EIC
full_text_status: public
pres_type: speech
abstract: The Web of Data is growing in popularity and dimension,
and named entity exploitation is gaining importance in many research
fields. In this paper, we explore the use of entities that can be extracted
from a query log to enhance query recommendation. In particular, we
extend a state-of-the-art recommendation algorithm to take into account
the semantic information associated with submitted queries. Our novel
method generates highly related and diversified suggestions that we as-
sess by means of a new evaluation technique. The manually annotated
dataset used for performance comparisons has been made available to
the research community to favor the repeatability of experiments.
date: 2013
date_type: published
event_title: IIR 2013 Italian Information Retrieval Workshop
event_type: workshop
refereed: TRUE
citation:   Ceccarelli, Diego and Gordea, Sergiu and Lucchese, Claudio and Nardini, Franco Maria and Perego, Raffaele  On Suggesting Entities as Web Search Queries.  In: IIR 2013 Italian Information Retrieval Workshop         (2013)  
document_url: http://eprints.imtlucca.it/1910/1/paper6.pdf