RECOMMENDER SYSTEM DEVELOPMENT FOR MOBILE PHONES E-COMMERCE

• Main Author: SANJOYO ADI (NIM 23505022), PUSPANINGTYAS
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/8964
• Institution: Institut Teknologi Bandung

Telecommunication sector in Indonesia has grown very rapidly, estimated about 30 million cellular numbers in 2006. This situation make consumers having difficulty finding suitable mobile phones for their needs and budget. This difficulty creates needs of recommender system in mobile phones e-commerce. Recommender system is a system that has a single focus: predicting what item or pieces of information a user will find interesting or useful. The main purpose of a recommender system is to help users choose item or product that will be of interest to them. Recommender system is an important part of an e-commerce in order to increase selling effectiveness. <br /> <br /> <br /> This thesis developed SRIBEPON, which is a recommender system for mobile phones. SRIBEPON is analyzed and designed using Unified Process and implemented in a web-based environment using Java Servlet. The recommender system uses content-based filtering method, which creates phone profile based on mobile phone specification categories such as brand, network, camera, memory, etc. This categories is implemented into dictionary tables containing mobile phone features. These dictionary tables are used to generate recommendation using Boolean query. The system’s recommendation contains phone type and its seller information. <br /> <br /> <br /> The evaluation result shows that recommender system is able to create recommendation and send notification to members via email and SMS (short messages service). Members can send advertisement using SMS and receive recommendation via SMS. <br />