Extraction of User Latent Preference for Real Estate Website

Abstract

As a current trend, in the consumption of durable consumer goods such as cars, real-estate properties, increasing number of buyers are making their purchasing decisions based on information on the Internet. Despite that, since real-estate contraction process is barely common or frequent, more users (consumers) than not suffer from a lack of adequate knowledge. Consequently, searching for a house on-line could become confusing. Renting a house, specifically, often comes time restriction, and from times requires compromise in search terms. To help, search terms and listing recommendations have to be more properly generated according to each user's needs and preferences. In this analysis, we propose a method of user preference extraction and provide insights on the results.