The success of e-commerce depends on the Information Systems that support it. Currently, the most used approach in e-commerce systems is the faceted search, that requires the customer to be familiar with the technical specification, to find the products that best meet their needs. The aim of this research is to evaluate a novel proposal to improve the online product search. Our solution will automatically map products\u27 features with less technical criteria, which will replace the filters in a faceted search. To achieve this goal, we have adopted a multi-criteria analysis method to rank the result. The proposed solution was evaluated through an empirical experiment with some product categories, using as data set the reviews of experts retrieved from the web. Results showed a strong rank correlation between our solution and the expert reviews, proving its feasibility and effectiveness
