Name
Title | ||
|---|---|---|
Creating User-Adapted Design Recommender System through Collaborative Filtering and Content Based Filtering |
Abstract | ||
|---|---|---|
Information filtering is an important technology for the creation of recommender system, which are adapted to the user's needs. In this paper we identify collaborative filtering and content-based filtering as independent technologies for information filtering. We propose the user-adapted design recommender system of textile design applying both technologies as one of methods in the material development centered on customer's sensibility and preference. Ultimately, this paper suggests empirical applications to verify the adequacy and the validity on this system with the development of design recommender system. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-24580-3_27 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
collaborative filtering,recommender system | Recommender system,Content analysis,Collaborative filtering,Color histogram,Information retrieval,Computer science,Textile design,Filter (signal processing),The Internet,Information filtering system | Conference |
Volume | ISSN | Citations |
2902 | 0302-9743 | 2 |
PageRank | References | Authors |
0.51 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyung-Yong Jung | 1 | 63 | 7.86 |
| Young-joo Na | 2 | 28 | 2.02 |
| Jung-Hyun Lee | 3 | 87 | 9.77 |