A Text Mining-based Recommendation System for Customer Decision Making in Online Product Customization
Ashwin Ittoo, Yiyang Zhang, Jianxin Roger Jiao · 2006
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.