The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews
Joint Authors
Ishanka, U. A. Piumi
Yukawa, Takashi
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Context-aware recommendation systems attempt to address the challenge of identifying products or items that have the greatest chance of meeting user requirements by adapting to current contextual information.
Many such systems have been developed in domains such as movies, books, and music, and emotion is a contextual parameter that has already been used in those fields.
This paper focuses on the use of emotion as a contextual parameter in a tourist destination recommendation system.
We developed a new corpus that incorporates the emotion parameter by employing semantic analysis techniques for destination recommendation.
We review the effectiveness of incorporating emotion in a recommendation process using prefiltering techniques and show that the use of emotion as a contextual parameter for location recommendation in conjunction with collaborative filtering increases user satisfaction.
American Psychological Association (APA)
Ishanka, U. A. Piumi& Yukawa, Takashi. 2017. The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews. Applied Computational Intelligence and Soft Computing،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1121435
Modern Language Association (MLA)
Ishanka, U. A. Piumi& Yukawa, Takashi. The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews. Applied Computational Intelligence and Soft Computing No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1121435
American Medical Association (AMA)
Ishanka, U. A. Piumi& Yukawa, Takashi. The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews. Applied Computational Intelligence and Soft Computing. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1121435
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121435