VISCORS: A visual-content recommender for the mobile Web

Author

Chan Young KIM
Jae Kyu LEE, Singapore Management UniversityFollow
Yoon ho CHO
Deok Hwan KIM

Publication Type

Journal Article

Version

publishedVersion

Publication Date

1-2004

Abstract

Current search methods for mobile-Web content can be frustrating to use. To shorten searches for cell phone wallpaper images, VISCORS combines collaborative filtering with content-based image retrieval. An increasing selection of content is becoming available in the mobile-Web environment, where users navigate the Web using wireless devices such as cell phones and PDAs. The fast growth and excellent prospects of the mobile-Web content market have attracted many content providers.

Keywords

collaborative filtering, content-based image retrieval, mobile Web, preference feedback, recommender system

Discipline

Computer Sciences | Management Information Systems

Research Areas

Information Systems and Management

Publication

IEEE Intelligent Systems

Volume

19

Issue

6

First Page

32

Last Page

39

ISSN

1541-1672

Identifier

10.1109/MIS.2004.75

Publisher

IEEE

Citation

KIM, Chan Young; LEE, Jae Kyu; CHO, Yoon ho; and KIM, Deok Hwan. VISCORS: A visual-content recommender for the mobile Web. (2004). IEEE Intelligent Systems. 19, (6), 32-39.
Available at: https://ink.library.smu.edu.sg/sis_research/1149

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.1109/MIS.2004.75