• Journal of the Korean Society of Clothing and Textiles
• /
• v.48 no.2
• /
• pp.211-232
• /
• 2024

This study examines the morphological and expressive aspects of fashion and its connection to music at Korean music festivals. The research involves a theoretical review and a case study analyzing fashion and music at rock, EDM, hip-hop, and jazz festivals in Korea from 2019 to 2023. The process of selecting fashion cases was reviewed by experts in the field of fashion, and expert focus group interviews were used. The study found that while fashion and music differ in terms of their fundamental morphological components of sensory media, they share features in terms of sensory harmony between their components. In terms of expressive aspects of fashion, it was found that the subject and object of expression are the same for the artist and for the audience. Both music and fashion have sensory transmission and communication between the subject and the audience, and both transmit personal and social meaning. Using these commonalities as indicators of relevance, a relevance evaluation was conducted. As a result of the evaluation, popular music festival fashion and music were interpreted as having a high degree of relevance in terms of expressing emotions and tastes, providing a sense of belonging to a community, and conveying cultural meaning.

• Journal of Digital Convergence
• /
• v.17 no.9
• /
• pp.375-381
• /
• 2019

Recently, the recommendation system has attracted the attention of users as customized recommendation services have been provided focusing on fashion, video and music. But these services are difficult to provide users with proper service according to many different contexts because they do not use contextual information emerging in real time. When applied contextual information expands dimensions, it also increases data sparsity and makes it impossible to recommend proper music for users. Trying to solve these problems, our study proposed a music recommendation system to recommend proper music in real time by applying association rules and using relationships and rules about the current location and time information of users. The accuracy of the recommendation system was measured according to location and time information through 5-fold cross validation. As a result, it was found that the accuracy of the recommendation system was improved as contextual information accumulated.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.41 no.7
• /
• pp.768-774
• /
• 2016

This paper deals with a method to recommend the combination of items as a group according to similarity to handle application area such as fashion and cooking, while the previous methods recommend single item such as a book, music or movie. Collaborative filtering is a method to recommend an item selected by users with similar tendency based on similarity between users. In this paper, the proposed method generates a set of frequent items based on collaborative filtering and association rules and recommends a group by similarity between groups. To show the validity of the proposed method, experiments are performed with purchase data collected from e-commerce for four months.