Machine Learning System to Learn what Users Find Attractive in On-line Photographs
MacLellan, Christopher
MacLellan, Christopher
Abstract
Description
In this presentation I will present a machine learning system that learns what computer users find attractive in profile images (containing frontal face shots) from the web. Once the system is trained to a given user it will then be able to predict that user's future attractiveness rating (on a scale of 1-10) of profile images from the web. This technology has numerous applications, one example being On-line dating websites that would be able to match couples that would find each other's images attractive in addition to just profile matching.
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University of Wyoming Libraries