Name
Title | ||
|---|---|---|
Discovery of User Preference in Personalized Design Recommender System through Combining Collaborative Filtering and Content Based Filtering |
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.
|
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-39644-4_29 | Discovery Science |
Keywords | Field | DocType |
collaborative filtering,recommender system | Recommender system,Content analysis,Collaborative filtering,Information retrieval,Computer science,Textile design,Image retrieval,Filter (signal processing),Information filtering system,Personalization | Conference |
Citations | PageRank | References |
4 | 0.55 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyung-Yong Jung | 1 | 63 | 7.86 |
| Jason J. Jung | 2 | 1451 | 135.51 |
| Jung-Hyun Lee | 3 | 87 | 9.77 |