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Improving Customer Preference Models through Cognitive Machine-learning
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Topic

Products

Customer experience of new products matters in many business areas

Setup

UniBas

Part of the University of Basel research in Economic Psychology

Design

R

Realized in R-Statistics, C++, C#, PHP

Improving Customer Preference Models through Cognitive Machine-learning

Finding the best model to forecast the perceptions and judgments of online and offline consumer products, using real user experience.

In this project, I developed and validated a new cognitive machine-learning algorithm to model and predict consumer choices and product perceptions. The new machine-learning model outperformed two existing models of preferences in two datasets, that contained the actual preferences of people, cross-validation, and predictive testing.

You can read the scientific paper in DECISION.

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