• Journal of Korea Society of Industrial Information Systems
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• v.24 no.1
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• pp.13-21
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• 2019

The tendency of buyers of web information is changing from the cost-effectiveness which emphasizes the performance over the price to the cost-satisfaction which emphasizes the psychological satisfaction of the buyer. In music recommendation, one of the methods to increase psychological satisfaction is to use the music mood. In this paper, a music recommendation method considering the mood tag and the synonyms tag is proposed and, as an intermediate result of the proposed method, mood tags and music pieces are expressed in Thayer's AV space and then their distribution are analyzed. The analysis result shows the distributions of mood tags and the ones of music pieces are similar, which implies that the proposed recommendation method can provide significant results. In the future, the music recommendation performance will be analyzed.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.6
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• pp.11-24
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• 2019

The tendency of buyers of web information is changing from the cost-effectiveness to the cost-satisfaction. There is such tendency in the recommendation of multimedia contents, some of which are folksonomy-based recommendation services using mood. However, there is a problem that they does not consider synonyms. In order to solve this problem, some studies have solved the problem by defining 12 moods of Thayer model as AV values (Arousal and Valence), but the recommendation performance is lower than that of a keyword-based method at the recall level 0.1. In this paper, we propose a method based on using mood vector of multimedia contents. The method can solve the synonym problem while maintaining the same performance as the keyword-based method even at the recall level 0.1. Also, for performance analysis, we compare the proposed method with an existing method based on AV value and a keyword-based method. The result shows that the proposed method outperform the existing methods.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.505-512
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• 2021

This study is to strengthen the competitiveness of 5-star hotel restaurants in Seoul, and the paired sample t-test was used. As a result of the study, first, the importance variables of hotel restaurants were measured as high variables such as'taste and quality of food(4.30)' and'diversity of menus(4.17)'. Second, the variables satisfied by customers visiting hotel restaurants were 'quantity of food(3.86)', 'taste and quality of food(3.78)', and 'diversity of menus(3.75)', etc. were surveyed. Third, as a result of IPA analysis, the variables in the first quadrant were the restaurant staff's expertise, cleanliness of the restaurant, the taste and quality of the food, the variety of menus, rapid service, food plating, the amount of food served, and the atmosphere of the restaurant. External environment, etc. were derived. In the second quadrant, cleanliness of restaurant tableware, freshness of food, and restaurant view were investigated. In the third quadrant, the reputation, restaurant toilet cleanliness, table cleanliness, parking facilities, transportation and convenience, etc. belong to this. Finally, variables belonging to the fourth quadrant were investigated such as reasonable price, cost-effectiveness and affordability, friendliness of restaurant staff, clothing and appearance of restaurant staff, and restaurant interior.