Recommender System for Mobile Phone Selection applying Extended Weighted Tree Similarity Algorithm

Mobile Phone technology is rapidly developing. Many features and specification of mobile phone are offered by the mobile phone’s producer companies. This condition makes people feel difficult to decide what mobile phone that they need or want because of so many kinds of mobile phone with their own features and specification today. The purpose of this research is solving that problem with designing recommender system that can recommend mobile phones depend of criterias and specifications that user want or need. The user inputs the criterias of mobile phone to the system and the system compare it with mobile phone’s criterias on website using Extended Weighted Tree Similarity Algorithm. The algorithm will return the similarity value between users’s input criterias and mobile phone’s criterias from website. Mobile phone that has highest similarity value is the most recommended. This system has been tested by software analysis system that name is Clinical Software Quality