在SMARTMUSEUM的个性化上下文感知建议:结合语义与统计

2009 Third International Conference on Advances in Semantic Processing Pub Date : 2009-10-11 DOI:10.1109/SEMAPRO.2009.25

I. Liiv, T. Tammet, Tuukka Ruotsalo, A. Kuusik

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引用次数: 20

摘要

我们的目标是加强对文化遗产的现场个性化访问和推荐。我们设计并实现了使用自适应和隐私保护用户分析的SMARTMUSEUM平台。所描述的推荐系统依赖于基于语义/本体论的方法与基于数据挖掘/统计的方法的结合。本文介绍了该系统的体系结构和主要实现方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Personalized Context-Aware Recommendations in SMARTMUSEUM: Combining Semantics with Statistics

Our goal is to enhance on-site personalized access and recommendations for cultural heritage. We have designed and implemented the SMARTMUSEUM platform using adaptive and privacy preserving user profiling. The described recommendation system relies on combining a semantics/ontologies based approach with a data mining/statistics based approach. The paper presents the architecture and main methods of the system.

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2009 Third International Conference on Advances in Semantic Processing

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