i-ReSISTANT: Intelligent Research Assistance System
Date Issued
2011
Date
2011
Author(s)
Condro, Nowy
Abstract
Time management is a crucial for researchers to accomplish their researches. Unorganized and inappropriate information may lead researchers to spend more effort to make a correct decision. In this thesis, we design a system called i-ReSISTANT that adopt the I-centric concept for providing intelligent research assistance services. Moreover, we introduce an approach to enhance the recommendation performance by utilizing the user’s context. This approach is aimed to deliver more personalized and adapted services such as Call-For-Papers (CFP) recommendation. Furthermore, to provide assistance in traveling for conference attendees, our system provides Open API to establish the open market. Open market is the market that has the equal opportunity of entry for service providers. The main purpose of open market is to establish the competition between service providers, which can improve the quality of the service that is offered to users. We developed i-ReSISTANT prototype that uses the latest HTML5 technology and reuses the available information and services on Internet from Google, Facebook and Yahoo. It leverages Ajax technology to provide the lightweight platform that can be run in browser supported devices. Furthermore, we investigate different programming styles in order to enhance the data process in the Web SQL database. The prototype extensively use cloud services, which make it efficient and low cost for providing intelligent research assistance services.
Subjects
Recommender system
Cloud service
Type
thesis
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