推荐系统
背景(考古学)
美女
计算机科学
工作(物理)
集合(抽象数据类型)
万维网
工程类
艺术
美学
机械工程
生物
古生物学
程序设计语言
作者
Kshitij Gulati,Gaurav Verma,Mukesh Mohania,Ashish Kundu
标识
DOI:10.48550/arxiv.2109.06072
摘要
With the global metamorphosis of the beauty industry and the rising demand for beauty products worldwide, the need for an efficacious makeup recommendation system has never been more. Despite the significant advancements made towards personalised makeup recommendation, the current research still falls short of incorporating the context of occasion in makeup recommendation and integrating feedback for users. In this work, we propose BeautifAI, a novel makeup recommendation system, delivering personalised occasion-oriented makeup recommendations to users while providing real-time previews and continuous feedback. The proposed work's novel contributions, including the incorporation of occasion context, region-wise makeup recommendation, real-time makeup previews and continuous makeup feedback, set our system apart from the current work in makeup recommendation. We also demonstrate our proposed system's efficacy in providing personalised makeup recommendation by conducting a user study.
科研通智能强力驱动
Strongly Powered by AbleSci AI