This disclosure describes comparative user feedback for products and services. Users are presented with choices of products and/or services and requested to make an ordered selection of their preferred choice(s). A user’s spatial ordering of choices on a slider provides information about the degree of user preferences. The comparative user feedback data are analyzed and used to train a machine learning (ML) model using ordinal regression. Absolute training data are provided to the machine learning model as seed training data. Ordinal ML regression is used to generate a comparison metric based on the comparison data, and is utilized for ranking user preferences and providing recommendations. The comparative feedback is integrated into the user’s profile that is utilized to generate user feedback candidates and provide recommendations.
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Zhang, Lingyi; Deshpande, Raamesh; and Susli, Mohamad, "Comparative user feedback rating", Technical Disclosure Commons, (April 11, 2018)