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首页> 外文期刊>International journal of knowledge and systems science >Kansei Evaluation of Product Recommendation Based on a Partial Comparison Process
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Kansei Evaluation of Product Recommendation Based on a Partial Comparison Process

机译：基于部分比较过程的关西产品推荐评估

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摘要

This paper aims to find a new evaluation method for collecting Kansei and Context data, which is based on a partial comparison process; and a specification method based on customer s target, which is suitable for the special Kansei and Context data obtained from partial comparison process. For collecting Kansei and Context data, we randomly select 5 objects from all objects, and ask people to compare them on each attribute. After many times comparisons, many comparison lists will be obtained. With these lists, we map them into a directed graphic, and with using some graphic processing techniques, we combine all the comparison lists into a whole list without any contradictions, and we map the whole list into a certain range as our evaluated data. To access these special Kansei and Context data, we also discussed two specification methods based on semantic differential method. To test the new method on collecting Kansei data and the specification method, a comparison system and a recommendation system are developed.
机译：本文旨在寻找一种基于局部比较过程的，用于收集感性和情境数据的评估方法。基于客户目标的规范方法，适用于部分比较过程中得到的特殊的感性和上下文数据。为了收集Kansei和Context数据，我们从所有对象中随机选择5个对象，并要求人们在每个属性上进行比较。经过多次比较，将获得许多比较列表。使用这些列表，我们将它们映射为有向图，并使用一些图形处理技术，将所有比较列表组合成没有任何矛盾的完整列表，并将整个列表映射为一定范围作为评估数据。为了访问这些特殊的Kansei和Context数据，我们还讨论了两种基于语义差分方法的规范方法。为了测试收集感性数据的新方法和规范方法，开发了比较系统和推荐系统。

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