基于综合因素的服装智能推荐算法研究  

Research on Intelligent Clothing Recommendation Algorithm Based on Comprehensive Factors

作　　者：唐国城 房正华[1] 李广源 TANG Guo-cheng;FANG Zheng-hua;LI Guang-yuan(School of Information Engineering,Qingdao Institute of Technology,Qingdao 266300,China)

机构地区：[1]青岛工学院信息工程学院,山东青岛266300

出　　处：《软件》2020年第4期51-52,87,共3页Software

基　　金：山东省高等学校教学改革研究项目(2015M080);2018 Google支持教育部产学合作协同育人项目——大学生创新训练项目。

摘　　要：个性推荐算法在各类电商系统商品推荐,特别是图书推荐和电影推荐中得到了广泛应用与落地,服装的推荐也取得了比较好的效果。但是,基于个人衣橱的并结合当天的天气、特殊场合等实际因素的动态推荐系统的应用却比较缺乏,本文搭建了用户和服装两个模型,提出了一种基于综合因素的服装智能推荐算法,可以很好的解决人民日常服装的穿搭问题,具有极大的应用前景。The personality recommendation algorithm has been widely used and implemented in various types of e-commerce system product recommendation,especially book recommendation and movie recommendation.Clothing recommendation has also achieved relatively good results.However,the application of a dynamic recommendation system based on personal wardrobes that combines practical factors such as the weather of the day and special occasions is relatively lacking.This paper builds two models of users and clothing,and proposes a clothing intelligent recommendation algorithm based on comprehensive factors.Which can well solve the problem of people's daily clothing and has great application prospects.

关 键 词：个性化推荐算法 服装模型 用户模型 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]