VISCORS: A visual-content recommender for the mobile Web

Chan Young Kim; Jae Kyu Lee; Yoon Ho Cho; Deok Hwan Kim

doi:10.1109/MIS.2004.75

VISCORS: A visual-content recommender for the mobile Web

Chan Young Kim
, Jae Kyu Lee
, Yoon Ho Cho
, Deok Hwan Kim

School of Management

Korea Advanced Institute of Science and Technology
Dongyang Technical College
Kookmin University

Research output: Contribution to journal › Review article › peer-review

65 Scopus citations

Abstract

The advantages of VISCORS, a visual contents recommender system, for the mobile web are discussed. VISCORS combines the two popular information filtering techniques, collaborative filtering and content-based image retrieval. With the help of VISCORS, the customers can purchase content with much less search effort and much lower connection time. It also helps mobile web content providers in helping the profitability of their business because lower customer frustration in finding desired content increases revenue through an improved purchase conversion rate.

Original language	English
Pages (from-to)	32-40
Number of pages	9
Journal	IEEE Intelligent Systems
Volume	19
Issue number	6
DOIs	https://doi.org/10.1109/MIS.2004.75
State	Published - Nov 2004

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10.1109/MIS.2004.75

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abstract = "The advantages of VISCORS, a visual contents recommender system, for the mobile web are discussed. VISCORS combines the two popular information filtering techniques, collaborative filtering and content-based image retrieval. With the help of VISCORS, the customers can purchase content with much less search effort and much lower connection time. It also helps mobile web content providers in helping the profitability of their business because lower customer frustration in finding desired content increases revenue through an improved purchase conversion rate.",

author = "Kim, \{Chan Young\} and Lee, \{Jae Kyu\} and Cho, \{Yoon Ho\} and Kim, \{Deok Hwan\}",

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AB - The advantages of VISCORS, a visual contents recommender system, for the mobile web are discussed. VISCORS combines the two popular information filtering techniques, collaborative filtering and content-based image retrieval. With the help of VISCORS, the customers can purchase content with much less search effort and much lower connection time. It also helps mobile web content providers in helping the profitability of their business because lower customer frustration in finding desired content increases revenue through an improved purchase conversion rate.

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VISCORS: A visual-content recommender for the mobile Web

Abstract

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