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引用次数: 5

摘要

本文将上下文感知计算方法应用到推荐系统模型中。在情境分析和推理的基础上,实现对用户群的推荐。本文利用情境感知技术,融合来自智能手机、传感器网络和社交网络的多源数据进行情境建模和推理,然后对情境线索进行格式化,构建情境场景的感知模型,预测用户群体的行为模式,进行群体推荐,满足用户群体的需求。我们分析了推荐过程,并进行了主观测试,以显示所提议系统的有用性。
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The Contextual Group Recommendation
The context-aware calculation method is applied to the model of recommendation system in this paper. Based on context of scenario analysis and inference, we can implement recommendation for user group. This paper makes use of the context of scenarios aware technology, which fuses multi-source data from smart phones, sensor networks and social networks for the scenario modeling and inference, and then formats the context clues to build the perceptual model of the context scenarios to predict the behavior patterns of the user group for the group recommendation, which meet the needs of the user group. We have analyzed the recommendation process and performed a subjective test to show the usefulness of the proposed system.
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