[1]任永亮,毋 涛,李 科.基于人体特征结合专家系统的西装推荐策略[J].计算机技术与发展,2022,32(05):165-170.[doi:10. 3969 / j. issn. 1673-629X. 2022. 05. 028]
 REN Yong-liang,WU Tao,LI Ke.Suit Recommendation Based on Human Features and Expert System[J].,2022,32(05):165-170.[doi:10. 3969 / j. issn. 1673-629X. 2022. 05. 028]
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基于人体特征结合专家系统的西装推荐策略()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年05期
页码:
165-170
栏目:
应用前沿与综合
出版日期:
2022-05-10

文章信息/Info

Title:
Suit Recommendation Based on Human Features and Expert System
文章编号:
1673-629X(2022)05--0164-07
作者:
任永亮毋 涛李 科
西安工程大学 计算机科学学院,陕西 西安 710600
Author(s):
REN Yong-liangWU TaoLI Ke
School of Computer Science,Xi’an Polytechnic University,Xi’an 710600,China
关键词:
边缘检测轮廓提取体型分类专家系统西装推荐。
Keywords:
edge detectioncontour extractionbody type classificationexpert systemsuit recommendation
分类号:
TP399
DOI:
10. 3969 / j. issn. 1673-629X. 2022. 05. 028
摘要:
针对目前西装推荐基本都是基于用户行为信息的关联性进行推荐,缺乏对人体自身特征的考虑,出于西装对合身度的要求,搭建一种基于人体轮廓特征结合专家系统的西装推荐系统。 首先通过 Canny 边缘检测算法进行人体轮廓的提取,通过人体轮廓图对人体身型快速判断,并按照制定的策略实现对西装的智能推荐,经过实验证明该系统可以准确地通过人体轮廓推荐与身型相匹配的西装,并且有较高的用户满意度。 当系统用户达到一定的数量时,数据库会产生一些数据基础,系统可根据身型数据包括已注册用户的体型、肩型、脸型等数据计算用户之间相似度,参考相似用户的购买记录与所设计的专家规则库相结合的方式为用户产生推荐列表。 该技术可以为线上线下的西装门店进行专业的西装推荐。
Abstract:
In view of the fact that the current suit recommendation is based on the relevance of user behavior information,which lacks the consideration? ? ? ?of human body’s own characteristics,a suit recommendation system based on human body contour features and expert system is built to meet the requirements of suit fit. Firstly,the Canny edge detection algorithm is used to extract the human body contour,and the human body shape is quickly judged through the human body contour map to achieve intelligent recommendation of suits according to the strategy. Experiments show that the system can accurately recommend suits that match the body shape through the body contour with high user satisfaction. When the number of system users reaches a certain number, the database will produce some database. The system can calculate the similarity between users according to the body shape data,including the registered user’s body shape,shoulder type,shoulder type,face shape,and the recommend-ation list is generated by combining the purchase records of similar users with the designed expert rule base. The proposed technology can provide professional suit recommendation for online and offline suit stores.

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更新日期/Last Update: 2022-05-10