@incollection{eprints1457,
       publisher = {ACM},
           pages = {933--938},
       booktitle = {Proceedings of the 28th Annual ACM symposium on applied computing},
           title = {When entities meet query recommender systems: semantic search shortcuts},
          author = {Diego Ceccarelli and Sergiu Gordea and Claudio Lucchese and Franco Maria Nardini and Raffaele Perego},
            year = {2013},
             url = {http://eprints.imtlucca.it/1457/},
        abstract = {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.},
        keywords = {SAC '13, Coimbra, Portugal {--} March 18 - 22, 2013 }
}