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When entities meet query recommender systems: semantic search shortcuts

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)

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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.

Item Type: Book Section
Identification Number: 10.1145/2480362.2480540
Uncontrolled Keywords: SAC '13, Coimbra, Portugal — March 18 - 22, 2013
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Economics and Institutional Change
Depositing User: Users 43 not found.
Date Deposited: 19 Dec 2012 11:16
Last Modified: 29 Jan 2014 08:58
URI: http://eprints.imtlucca.it/id/eprint/1457

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