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

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 protoc...

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Bibliographic Details
Main Author: Nurhayati
Other Authors: Cong Gao
Format: Final Year Project (FYP)
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/76885
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author Nurhayati
author2 Cong Gao
author_facet Cong Gao
Nurhayati
author_sort Nurhayati
collection NTU
description 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.
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spelling ntu-10356/768852023-03-03T20:41:57Z Data recommendation engine for a mobile-based research community social network platform Nurhayati Cong Gao School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering 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. Bachelor of Engineering (Computer Science) 2019-04-21T12:58:28Z 2019-04-21T12:58:28Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/76885 en Nanyang Technological University 80 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering
Nurhayati
Data recommendation engine for a mobile-based research community social network platform
title Data recommendation engine for a mobile-based research community social network platform
title_full Data recommendation engine for a mobile-based research community social network platform
title_fullStr Data recommendation engine for a mobile-based research community social network platform
title_full_unstemmed Data recommendation engine for a mobile-based research community social network platform
title_short Data recommendation engine for a mobile-based research community social network platform
title_sort data recommendation engine for a mobile based research community social network platform
topic DRNTU::Engineering::Computer science and engineering
url http://hdl.handle.net/10356/76885
work_keys_str_mv AT nurhayati datarecommendationengineforamobilebasedresearchcommunitysocialnetworkplatform