Font Recommendation System based on User Evaluation of Font Attributes
  • 임순범
  • 박연희
  • 민성경
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초록

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.

키워드

Font AttributesFont MatchingFont RecommendationUser Evaluation Score
제목
Font Recommendation System based on User Evaluation of Font Attributes
저자
임순범박연희민성경
DOI
10.9717/JMIS.2017.4.4.279
발행일
2017-12
저널명
Journal of Multimedia Information System
4
4
페이지
279 ~ 284