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JACIII Vol.10 No.6 pp. 850-858
doi: 10.20965/jaciii.2006.p0850
(2006)

Paper:

Automatic Metadata Annotation Based on User Preference Evaluation Patterns

Mari Saito

Sony Corporation, 6-7-35 Kita-Shinagawa, Shinagawa, Tokyo 141-0001, Japan

Received:
December 18, 2005
Accepted:
March 9, 2006
Published:
November 20, 2006
Keywords:
recommendation, personalization, preference learning, content-based filtering, collaborative filtering
Abstract

In the automatic metadata annotation we propose effective in content recommendation matched to user preference, content is clustered based on user evaluation patterns for sampled content, not on the content itself. Non-sampled content is also annotated into proper clusters after metadata-based prediction. Verification of our approach using wine recommendation showed that our metadata was the most effective among many sets of metadata.

Cite this article as:
M. Saito, “Automatic Metadata Annotation Based on User Preference Evaluation Patterns,” J. Adv. Comput. Intell. Intell. Inform., Vol.10, No.6, pp. 850-858, 2006.
Data files:
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