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Our mission is to `push the envelope’ on learning user preferences from data to improve the effectiveness and efficiency of recommendations using data mining, machine learning, and artificial intelligence. This encompasses designing algorithms for mining user-generated data of various modalities (e.g., ratings, text, images, social networks) for understanding the behaviors and preferences of users (individually and collectively), and applying the mined knowledge to develop user-centric intelligent applications.

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Website https://preferred.ai
Employees 4 (4 on RocketReach)
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