[1]杨彦梅,何 瑛*.针对街头场景的女衬衫个性化推荐[J].服装学报,2023,8(05):465-471.
　YANG Yanmei,HE Ying*.Personalized Recommendation of Blouses Based on Street Scene[J].Journal of Clothing Research,2023,8(05):465-471.
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针对街头场景的女衬衫个性化推荐()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第8卷
期数:
2023年05期
页码:
465-471
栏目:
服装营销
出版日期:
2023-10-31

文章信息/Info

Title:
Personalized Recommendation of Blouses Based on Street Scene
作者:
杨彦梅1;  何 瑛*1; 2; 3
1.浙江理工大学 服装学院,浙江 杭州 310018; 2. 浙江理工大学 浙江省服装工程技术研究中心,浙江 杭州 310018; 3. 浙江理工大学 丝绸文化传承与产品设计数字化技术文化和旅游部重点实验室,浙江 杭州 310018
Author(s):
YANG Yanmei1;  HE Ying*1; 2; 3
1.School of Fashion Design and Engineering,Zhejiang Sci-Tech University, Hangzhou 310018, China; 2. Apparel Engineering Research Center of Zhejiang Province,Zhejiang Sci-Tech University,Hangzhou 310018,China; 3. Key Laboratory of Silk Culture Heritage and Products Design Digital Technology,Ministry of Culture and Tourism,Zhejiang Sci-Tech University,Hangzhou 310018,China
分类号:
TS 941.6
文献标志码:
A
摘要:
为满足消费者在街头场景下对女衬衫的特殊需求,优化购物体验,提高购物效率,采用问卷调研和图片分析法获取数据,对所得女衬衫属性的偏好信息进行梳理分析。以综合兴趣度为判断指标,建女衬衫的个性化推荐模型,并通过情景实验对推荐模型进行可行性验证。结果表明:模型的验证准确率为83.7%,远高于淘宝推荐的准确率48.3%,该研究方法为针对其他场景的服装个性化推荐提供参考。
Abstract:
In order to meet the special needs of consumers for clothing in specific scenes and to improve the shopping experience and efficiency, a questionnaire survey and photo analysis method were used to obtain data, and the obtained prefe-ence information regarding blouse attributes was combed and analyzed. A personalized recommendation model for blouses was constructed, using comprehensive interest as the judgment index. The feasibility of the recommended model was verified through scenario experiments. The verification results show that the verification accuracy rate of the model is 83.7%, which is significantly higher than the accuracy rate recommended by Taobao, which is 48.3%. This can provide a reference for the personalized recommendation of clothing to meet the needs of other scenes.

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更新日期/Last Update: 2023-08-30