VISCORS: A visual-content recommender for the mobile Web

VISCORS: A visual-content recommender for the mobile Web

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 use...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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