relation: http://eprints.imtlucca.it/1457/
title: When entities meet query recommender systems: semantic search shortcuts
creator: Ceccarelli, Diego
creator: Gordea, Sergiu
creator: Lucchese, Claudio
creator: Nardini, Franco Maria
creator: Perego, Raffaele
subject: QA75 Electronic computers. Computer science
description: 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.
publisher: ACM
date: 2013
type: Book Section
type: PeerReviewed
identifier:   Ceccarelli, Diego and Gordea, Sergiu and Lucchese, Claudio and Nardini, Franco Maria and Perego, Raffaele  When entities meet query recommender systems: semantic search shortcuts.   In:  Proceedings of the 28th Annual ACM symposium on applied computing.   ACM, pp. 933-938.  ISBN 978-1-4503-1656-9      (2013)  
relation: http://dl.acm.org/citation.cfm?doid=2480362.2480540
relation: 10.1145/2480362.2480540