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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Other Authors: | |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2019
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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. |
first_indexed | 2024-10-01T05:15:57Z |
format | Final Year Project (FYP) |
id | ntu-10356/76885 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:15:57Z |
publishDate | 2019 |
record_format | dspace |
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 |