Customer experience of new products matters in many business areas
Realized in R-Statistics, C++, C#, PHP
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.