コバーチ マーテ
KOVACS MATE
KOVACS MATE
所属 情報理工学部 情報理工学科
職名 助教
言語種別 英語
研究概要 Online reviews available on e-commerce websites influence the purchase decision-making process of customers, and companies often rely on this form of user-generated content to attract new customers and improve user experience. As the number of reviews increases over time, however, both the companies and the customers face an information overload, while the value of reviews depreciates. Therefore, e-commerce companies require systems to be developed to automatically assess the quality of reviews, and to identify relevant content.
The goal of the research is to develop a mathematical model of online review quality, and to build a deep learning system based on the model, that would efficiently quantify the quality of reviews. The study would contribute to the fields of Data quality assessment and Customer need research, while its results would have an impact on the design and development of deep learning systems for customer-driven product innovation.