Font Recommendation System based on User Evaluation of Font Attributes
- Authors
- 임순범; 박연희; 민성경
- Issue Date
- Dec-2017
- Publisher
- 한국멀티미디어학회
- Keywords
- Font Attributes; Font Matching; Font Recommendation; User Evaluation Score
- Citation
- Journal of Multimedia Information System, v.4, no.4, pp 279 - 284
- Pages
- 6
- Journal Title
- Journal of Multimedia Information System
- Volume
- 4
- Number
- 4
- Start Page
- 279
- End Page
- 284
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/2127
- DOI
- 10.9717/JMIS.2017.4.4.279
- ISSN
- 2383-7632
2383-7632
- Abstract
- The visual impact of fonts on lots of documents and design work is significant. Accordingly, the users desire to appropriately use fonts suitable for their intention. However, existing font recommendation programs are difficult to consider what users want. Therefore, we propose a font recommendation system based on user-evaluated font attribute value. The properties of a font are called attributes. In this paper, we propose a font recommendation module that recommends a user 's desired font using the attributes of the font. In addition, we classify each attribute into three types of usage, personality, and shape, suggesting the font that is closest to the desired font, and suggest an optimal font recommendation algorithm. In addition, weights can be set for each use, personality, and shape category to increase the weight of each category, and when a weight is used, a more suitable font can be recommended to the user.
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