International Business Machines Corporation

Piyawadee Sukaviriya

Ashish Jagmohan

Krishna Chaitanya Ratakonda

Yi-Min Chee

Richard B Segal

Pamela N Luna

According to embodiments, methods, systems, and computer program products are provided for receiving one or more input compositions comprising one or more materials, assigning a material vector to each material, learning, for each of the input compositions, a composition vector based on the material vectors of the materials that form each composition, assigning predicted rating values having a confidence level to each of the composition vectors, selecting a composition to be rated based on the confidence levels, presenting the selected composition to be rated to a user, receiving a user rating for the composition to be rated; adjusting the predicted rating values and confidence levels of the composition vectors that have not been rated by the user, and generating a predictive model to predict a user's ratings for compositions when confidence levels of each composition vector is above a predetermined threshold value.

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White Plains, NY, United States of America

Piyawadee Sukaviriya