Stefan Nadschläger, Andreea-Hilda Kosorus, Josef Küng, Andreas Bögl,
"Content-based Recommendations within a QA System using the Hierarchical Structure of a Domain-Specific Taxonomy"
: Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on, IEEE, Seite(n) 88 - 92, 2012, ISBN: 978-1-4673-2621-6
Original Titel:
Content-based Recommendations within a QA System using the Hierarchical Structure of a Domain-Specific Taxonomy
Sprache des Titels:
Englisch
Original Buchtitel:
Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on
Original Kurzfassung:
In this paper we present several content-based
recommendation methods for a QA system that rely and use
extensively the structure of a domain-specific taxonomy. Our
goal is to add semantics to a typical content-based RS in order to
improve the quality of the recommendations by mapping relevant
keywords from the existing taxonomy to the available questions.
In order to test and evaluate the effectiveness of the above
mentioned methods, we conducted a supervised survey where
we asked several users to rate the recommendations delivered
using these methods. The results show that by combining the
results retrieved by these methods, we obtain a range of recommendations
that satisfy a variety of user expectations.