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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2014 Vol.6(2): 113-117 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.847

Effects of an Algorithm with a Recommendation Tree for Indirect Speech Acts

Takuki Ogawa, Kazuhiro Morita, Masao Fuketa, and Jun-Ichi Aoe
Abstract—For context-based recommendation systems, it is important to determine intentions from indirect speech acts.
An algorithm of deriving intentions from indirect speech acts has been proposed, but the algorithm included unclear portions and there were no important experimental results for kinds of speech acts. Therefore, this paper proposes an improved algorithm and two experimental observations are discussed for accuracies and kinds of answers in indirect speech acts.
Logical formulas are rewritten to if-else statements and the number of conditions is reduced from 24 to 8 in the algorithm. From experimental results, it is verified that the correct rate of the proposed method is 48.2 points higher than the one of the traditional method in indirect speech acts. Answers of "what" most include indirect speech acts and the accuracy of the proposed method is 53.8 points higher than the traditional one in them.

Index Terms—Recommendation system, indirect speech acts, affirmative intention, negative intention.

The authors are with University of Tokushima, Tokushima, Japan (email: ogawa-takuki@iss.tokushima-u.ac.jp, kam@is.tokushima-u.ac.jp, fuketa@is.tokushima-u.ac.jp, aoe@is.tokushima-u.ac.jp).

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Cite:Takuki Ogawa, Kazuhiro Morita, Masao Fuketa, and Jun-Ichi Aoe, "Effects of an Algorithm with a Recommendation Tree for Indirect Speech Acts," International Journal of Computer Theory and Engineering vol. 6, no. 2, pp. 113-117, 2014.

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