社交和基于内容的Web图形视觉推荐方法

Proceedings 1999 IEEE Symposium on Visual Languages Pub Date : 1999-09-13 DOI:10.1109/VL.1999.795901

J. Tatemura, S. Santini, R. Jain

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引用次数: 2

摘要

我们提出了一种视觉浏览技术，该技术将基于内容的信息和社交信息结合起来，利用它们各自的优势:过滤结果的专门化和偶然发现的信息。该系统由基于内容的地图和动态社交过滤器组成。基于该技术的可视化界面应用于我们的万维网图形推荐系统。

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Social and content-based approach for visual recommendation of Web graphics

We propose a visual browsing technique that combines content-based and social information to make use of their own advantages: specialization of filtering results and serendipitous information discovery. The system consists of a content-based map and a dynamic social filter. A visual interface based on this technique is applied to our World Wide Web graphics recommender system.

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Proceedings 1999 IEEE Symposium on Visual Languages

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