VISCORS: A visual-content recommender for the mobile Web

• Main Authors: KIM, Chan Young, LEE, Jae Kyu, CHO, Yoon ho, KIM, Deok Hwan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2004
• Subjects: collaborative filtering; content-based image retrieval; mobile Web; preference feedback; recommender system; Computer Sciences; Management Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/1149; https://ink.library.smu.edu.sg/context/sis_research/article/2148/viewcontent/VISCORS_a_Visual_Contents_Recommender_System_on_the_Mobile_Web.pdf
• Institution: Singapore Management University

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.