Recommendation system for property search using content based filtering method

Development of technology causes many business industries to migrate from offline business systems to the e-commerce world. One of the most popular e-commerce frequented by potential buyers is the property site. Considering that the property is one of the essential requirements for living, and furthermore it is also one of the most prized assets one can have. In this research, we develop a web-based recommendation system in choosing a property using content-based filtering method. The recommendation system 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. The application 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.