女装搭配推荐系统的设计与实现

为满足消费者对服装搭配推荐的巨大需求、弥补现有服务的不足,以女装品牌L为案例,参考感性工学量化基本程序,基于文献研究结合该品牌设计要素与风格特征建立服装风格感性意象评价量表与设计要素细分表,通过问卷调研与数据分析确定了设计要素与服装风格的对应关系,并建立服装风格量化模型。在理论研究与市场调研的基础上建立服装搭配关联规则,结合服装风格量化模型构建女装搭配推荐系统。对该系统推荐结果进行实例验证,结果显示其准确率、召回率和综合评价指标均在合理区间内,表明该系统能够有效推送用户喜欢的商品。对实验用户进行访谈,结果表明该系统已能基本满足消费者对于服装搭配推荐服务的需求。

Design and realization of a collocation recommendation system for women's clothing

In order to meet the huge demand of consumers for clothing collocation recommendation and make up for the lack of existing services, the women's fashion brand L was taken as a case study. With reference to the basic procedures of Kansei engineering, based on the literature research and design elements and style features of the brand, a Kansei image evaluation scale of fashion style and a classification table of design elements were established. Through the questionnaire survey and data analysis, the influence direction and degree of each design element on the Kansei image of fashion style were found and quantitative models of fashion style were constructed. On the basis of theoretical research and market research, clothing collocation rules were established. Combined with the quantitative models of fashion style, a women's clothing collocation recommendation system was developed, and the recommendation results were verified. The verification results show that the precision rate, the recall rate and the comprehensive evaluation index were all within a reasonable range, indicating that the system could effectively recommend the users' favorite products. Interviews with experimental users show that the system can basically meet consumers' demand for clothing collocation recommendation.