TY  - CHAP
UR  - http://dl.acm.org/citation.cfm?doid=2480362.2480540
KW  - SAC '13
KW  -  Coimbra
KW  -  Portugal ? March 18 - 22
KW  -  2013 
N2  - The Web of Data is growing in popularity and dimension,
and entities are 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 use a large query log recorded by the Europeana portal, a central access point to the descriptions of
more than 20 million cultural heritage objects, and we extend a state-of-the-art query recommendation algorithm to
take into account the semantic information associated with
the submitted queries. Our novel method generates highly
related and diversified suggestions. We assess it 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 the experiments.
AV  - none
ID  - eprints1457
TI  - When entities meet query recommender systems: semantic search shortcuts
Y1  - 2013///
SP  - 933
T2  - Proceedings of the 28th Annual ACM symposium on applied computing
A1  - Ceccarelli, Diego
A1  - Gordea, Sergiu
A1  - Lucchese, Claudio
A1  - Nardini, Franco Maria
A1  - Perego, Raffaele
SN  - 978-1-4503-1656-9
PB  - ACM
EP  - 938
ER  -