A Survey on Recommendation System for Property Search using Content Based Filtering Method

Recommendation systems in e-commerce have become essential tools to help businesses increase their sales and also to achieve customer requirements. But in the existing system, we don’t have any such e-commerce application which connects user requirements and real estate businesses. So here, we are trying to develop such platform which will assist prospective buyers in determining the choice of property product they want to buy, with the help of content based filtering method. In this project, we are trying to develop that type of web-based recommendation system in choosing a property which provides property information based on user behavior by searching advertising content previously searched by the user. Each time the user selects the contents of the ad to display, this information will be stored into the database to be processed further in order to provide a recommendation. This system will present the same product recommendation, in accordance to the profile / criteria and preference of the prospective buyer. Therefore, the recommendation system will assist prospective buyers in determining the choice of property product they want to buy, and this process can be provided by the recommendation system in a short time.