Products recommendation using emotional information
Products recommendation using emotional information
复制标题
使用情感信息推荐产品
DOI：
10.1007/s11518-012-5186-1
复制
发表时间：
2012
影响因子：
1.2
通讯作者：
Yoshiteru Nakamori
中科院分区：
文献类型：
--
作者：
Hongli Ju;Yoshiteru Nakamori
久谷窑是一种著名的传统工艺，不仅在经济上，而且在文化上都具有重要意义。在过去的几十年里，它曾经繁荣一时;然而，由于生活方式的改变或更多功能性产品的出现，它最近一直在萎缩。与功能相比，产品的品牌形象和风格在购买中变得更加重要;而且，技术不再是产品发展的唯一动力。随着情感营销的推广，各种情感营销方法被开发出来并应用于各个领域。由于人的情绪具有线性和非线性的特点，而且情绪时刻都在变化，因此需要一种更适合的方法。本文通过比较统计方法、模糊方法和伪模糊方法，提出了一种新的基于情感评价数据库的产品推荐方法。
Kutani-ware is a famous traditional craft which is so significant not only from the economic perspective, but also from the cultural viewpoint. It had a prosperous time in the last decades; however it has been shrinking recently due to the changes of lifestyle or the appearance of more functional products. Compared with the function, the brand image and style of products have become much more important in purchasing; moreover, technology is no longer the sole driving force in the development of products. As the spread of marketing appealing to consumers’ emotion, many methods treating human’s feeling have been developed and applied in many fields. Since human’s emotion has both linear and non-linear characteristics, and it is changing by every moment, a method which fits better is essential. This paper develops a new evaluation model by comparing statistical, fuzzy and pseudo-fuzzy approaches based-on an emotional evaluation database to find a better approach for recommendation of products.