De Gustibus Disputandum

TL;DR

This paper introduces a straightforward method to predict individual product expectations using a knowledge network, also capable of uncovering hidden neural information from customer choices under specific conditions.

Contribution

It presents a novel approach combining knowledge networks with customer data to predict expectations and extract hidden neural insights.

Findings

Effective prediction of individual expectations.

Ability to extract hidden neural information.

Method works under certain conditions.

Abstract

We propose a simple method to predict individuals' expectations about products using a knowledge network. As a complementary result, we show that the method is able, under certain conditions, to extract hidden information at neural level from a customers' choices database.