Ambient recommendations in the pop-up shop

Gonzalo Garcia-Perate, N. Dalton, R. Dalton, Duncan Wilson
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引用次数: 12

Abstract

In this paper we present the design and first-stage analysis of a purposely built, smart, pop-up wine shop. Our shop learns from visitors' choices and recommends wine using collaborative filtering and ambient feedback displays integrated into its furniture. Our ambient recommender system was tested in a controlled laboratory environment. We report on the qualitative feedback and between subjects study, testing the influence the system had in wine choice behavior. Participants reported the system helpful, and results from our empirical analysis suggest it influenced buying behavior.
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弹出式商店中的环境推荐
在本文中,我们提出了设计和第一阶段的分析,故意建造,智能,弹出式葡萄酒商店。我们的商店从游客的选择中学习,并使用协同过滤和环境反馈显示器集成到家具中来推荐葡萄酒。我们的环境推荐系统在一个受控的实验室环境中进行了测试。我们报告了定性反馈和受试者之间的研究,测试了系统对葡萄酒选择行为的影响。参与者报告该系统有帮助,我们的实证分析结果表明它影响了购买行为。
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