Data recommendation engine for a mobile-based research community social network platform

• Main Author: Nurhayati
• Other Authors: Cong Gao
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/76885
• Institution: Nanyang Technological University

Android phone users have been increasing over the years. Due to this reason, developers have developed much interest in Android mobile development. In this project, Academic Community (in short “AcKuu”) application is developed using Android Operating System and REST API as a communication protocol between client application and web services. AcKuu application is developed and designed carefully according to the requirements specified for this Final Year Project which would enable users (students, professors and faculties) to interact with one another pertaining to the academic activities such as research opportunities, scholarship opportunities, funding for research projects, etc. This report will describe the details implementation of AcKuu application such as the system architecture being used, implementation of REST API (Representational State Transfer Application Program Interface), AcKuu database model, studies on Collaborative Filtering techniques which includes data collection and data cleaning or data processing, market analysis on the developed application and future enhancement.