A Text Mining-based Recommendation System for Customer Decision Making in Online Product Customization

This paper presents a text mining-based recommendation system to assist customer decision making in online product customization. The proposed system allows customers to describe their interests in textual format, and thus to capture customers´ preferences to generate accurate recommendations. The system employs text mining techniques to learn product features, and accordingly recommends products that match the customers´ preferences. The effectiveness of the suggested recommendation methodology is validated by experimental evaluations