The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews
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 emot...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2017/5680398 |
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| _version_ | 1832549322014588928 |
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| author | U. A. Piumi Ishanka Takashi Yukawa |
| author_facet | U. A. Piumi Ishanka Takashi Yukawa |
| author_sort | U. A. Piumi Ishanka |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9e941cb54a4248079bcd4ef4573b63b7 |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-9e941cb54a4248079bcd4ef4573b63b72025-02-03T06:11:34ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322017-01-01201710.1155/2017/56803985680398The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User ReviewsU. A. Piumi Ishanka0Takashi Yukawa1Graduate School of Engineering, Nagaoka University of Technology, 1603-1 Kamitomioka-machi, Nagaoka, JapanGraduate School of Engineering, Nagaoka University of Technology, 1603-1 Kamitomioka-machi, Nagaoka, JapanContext-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.http://dx.doi.org/10.1155/2017/5680398 |
| spellingShingle | U. A. Piumi Ishanka Takashi Yukawa The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews Applied Computational Intelligence and Soft Computing |
| title | The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews |
| title_full | The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews |
| title_fullStr | The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews |
| title_full_unstemmed | The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews |
| title_short | The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews |
| title_sort | prefiltering techniques in emotion based place recommendation derived by user reviews |
| url | http://dx.doi.org/10.1155/2017/5680398 |
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