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Closed Loop Generative Design Recommender System for Clothing

Project type

Recommender System

Date

December 2019

Location

Munich

A recommender system designed and implemented as part of my bachelor's thesis. This system leverages low-effort explicit and implicit user feedback, in the form of eye-tracking, to generate personalized clothing recommendations. Additionally, basic physical simulations are used to showcase recommended products to the user and capture additional feedback, which is then evaluated in a generative design loop to refine the user model and produce improved recommendations.

Core Skills: Unity | Blender







Video Credit: Siemens

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