Hugos - Intelligent User Interface and Missing Value Estimation
Yong Jin, Yupeng Ji, Shiliang Xue, USC
Abstract. Display large quantity of real estate listings for sale on map is a challenging problem due to limited display capacity of web browsers. Hugos is an application that helps people in California on making house- purchase decisions. In this paper, we present Hugos' adaptive UI that selectively displays house listings by inferring user preferences, smart recommendation system that recommends real estate listings base on user-UI interaction, and why and how Hugos estimates missing house listing values such as house price and size. The application utilizes techniques primary in Machine Learning and Statistical Analysis.