BeautifAI -- A Personalised Occasion-oriented Makeup Recommendation System
Kshitij Gulati, Gaurav Verma, Mukesh Mohania, Ashish Kundu

TL;DR
BeautifAI is a personalized makeup recommendation system that considers occasion context, provides real-time previews, and incorporates user feedback, enhancing the relevance and user experience in beauty product suggestions.
Contribution
The paper introduces a novel makeup recommendation system that uniquely integrates occasion context, regional preferences, real-time previews, and continuous feedback.
Findings
Effective personalization through occasion-aware recommendations
Improved user satisfaction demonstrated in user study
Region-specific makeup suggestions enhance relevance
Abstract
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…
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Taxonomy
TopicsMedia, Gender, and Advertising · Video Analysis and Summarization · Consumer Perception and Purchasing Behavior
