arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2109.06072cs.IRcs.MM
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BeautifAI --一个面向场合的个性化化妆推荐系统

BeautifAI -- A Personalised Occasion-oriented Makeup Recommendation System

Kshitij Gulati, Gaurav Verma, Mukesh Mohania, Ashish Kundu

摘要:

随着美容行业的全球变化和全球对美容产品需求的不断增长,对有效的化妆品推荐系统的需求从未如此之大。尽管在个性化化妆推荐方面取得了重大进展,但目前的研究仍然缺乏将场合背景纳入化妆推荐并为用户整合反馈。在这项工作中,我们提出了BeautifAI,一种新颖的化妆推荐系统,为用户提供个性化的化妆推荐,同时提供实时预览和持续反馈。建议的工作的新颖的贡献,包括纳入场合背景下,区域明智的化妆推荐,实时化妆预览和持续化妆反馈,设置我们的系统除了目前的工作在化妆推荐。我们还证明了我们提出的系统的功效,通过进行用户研究,提供个性化的化妆建议。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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