Discovery of user preference in personalized design recommender system through combining collaborative filtering and content-based filtering
- Authors
- Jung, KY; Jung, Jason J.; Lee, JH
- Issue Date
- 2003
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- DISCOVERY SCIENCE, PROCEEDINGS, v.2843, pp 320 - 327
- Pages
- 8
- Journal Title
- DISCOVERY SCIENCE, PROCEEDINGS
- Volume
- 2843
- Start Page
- 320
- End Page
- 327
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37644
- DOI
- 10.1007/978-3-540-39644-4_29
- ISSN
- 0302-9743
1611-3349
- Abstract
- More and more recommender systems build close relationships with their users by adapting to their needs and therefore providing a personal experience. One aspect of personalization is the recommendation and presentation of information and products so that users can access the recommender system more efficiently. However, powerful filtering technology is required in order to identify relevant items for each user. In this paper we describe how collaborative filtering and content-based filtering can be combined to provide better performance for information filtering. We propose the personalized design recommender system of textile design applying both technologies as one of the methods in the material development centered on customer's sensibility and preference. Finally, we plan to conduct empirical applications to verify the adequacy and the validity of our personalized design recommender system.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37644)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.