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A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0
Abstract FAQ (Frequency Asked Questions) lists haveFAQ (Frequency Asked Questions) lists have attracted increasing attention for companies and organizations. There is thus a need for high-precision and fast methods able to manage large FAQ collections. In this context, we present a FAQ retrieval system as part of a FAQ exploiting project. Following the growing trend towards Web 2.0, we aim to provide users with mechanisms to navigate through the domain of knowledge and to facilitate both learning and searching, beyond classic FAQ retrieval algorithms. To this purpose, our system involves two different modules: an efficient and precise FAQ retrieval module and, a tag cloud generation module designed to help users to complete the comprehension of the retrieved information. Empirical results evidence the validity of our approach with respect to a number of state-of-the-art algorithms in terms of the most popular metrics in the field. © 2013 Elsevier B.V. All rights reserved. © 2013 Elsevier B.V. All rights reserved.
Abstractsub FAQ (Frequency Asked Questions) lists haveFAQ (Frequency Asked Questions) lists have attracted increasing attention for companies and organizations. There is thus a need for high-precision and fast methods able to manage large FAQ collections. In this context, we present a FAQ retrieval system as part of a FAQ exploiting project. Following the growing trend towards Web 2.0, we aim to provide users with mechanisms to navigate through the domain of knowledge and to facilitate both learning and searching, beyond classic FAQ retrieval algorithms. To this purpose, our system involves two different modules: an efficient and precise FAQ retrieval module and, a tag cloud generation module designed to help users to complete the comprehension of the retrieved information. Empirical results evidence the validity of our approach with respect to a number of state-of-the-art algorithms in terms of the most popular metrics in the field. © 2013 Elsevier B.V. All rights reserved. © 2013 Elsevier B.V. All rights reserved.
Bibtextype article  +
Doi 10.1016/j.knosys.2013.04.019  +
Has author Romero M. + , Moreo A. + , Castro J.L. +
Has extra keyword FAQ retrieval + , Natural languages + , Tag clouds + , Wikipedia + , Wordnet + , Algorithms + , Data mining + , Information retrieval + , Metadata + , World Wide Web + , Search engine +
Has keyword FAQ retrieval + , Natural language + , Tag cloud + , Wikipedia concepts + , Wordnet +
Issn 9507051  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 81–96  +
Published in Knowledge-Based Systems +
Title A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0 +
Type journal article  +
Volume 49  +
Year 2013 +
Creation dateThis property is a special property in this wiki. 6 November 2014 11:46:46  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Journal articles  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 11:46:46  +
DateThis property is a special property in this wiki. 2013  +
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A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0 + Title
 

 

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