TY  - CONF
Y1  - 2013///
A1  - Ceccarelli, Diego
A1  - Gordea, Sergiu
A1  - Lucchese, Claudio
A1  - Nardini, Franco Maria
A1  - Perego, Raffaele
T2  - IIR 2013 Italian Information Retrieval Workshop
UR  - http://eprints.imtlucca.it/1910/
N2  - 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.
AV  - public
ID  - eprints1910
TI  - On Suggesting Entities as Web Search Queries
ER  -