智慧型研究協助系統

在研究者進行研究時，時間管理是一個非常關鍵的因素。未經組織化以及不適當的資訊可能會導致研究者必須耗費更多精力來做一個正確的決策。在本篇論文中，我們採用 I-centric 的概念，設計一個以 i-ReSISTANT 命名的系統，提供智慧型研究輔助服務。此外，我們也介紹一個透過使用者的情境和行為來加強推薦系統效能的方法。這個方法的目的為提供更為個人化以及適當的推薦，如Call-For-Papers (CFP) 的推薦。此外，為了提供旅行安排的協助給會議參與者，我們的系統利用 Open API 的特性，建立一個讓服務提供者皆有同等機會進入的開放市場。開放市場的主要目的是為了建立服務提供者之間的競爭關係。這個競爭關係可以提升服務的品質。我們使用最新的 HTML5 技術，以及重用 Google，Facebook 和 Yahoo 在網路上所提供的資源與服務來開發 i-ReSISTANT 的系統原型。它利用 Ajax 技術，提供輕量級的平台，可以運行在能提供瀏覽器的設備中。此外，我們比較不同的程式風格，以加強在 Web SQL database 的資料處理。此原型廣泛使用雲端服務，使得它具有效率且低成本地提供智慧型的研究輔助之服務。

關鍵字

I-centric ；推薦系統； Call for paper ；雲端服務； Open API

並列摘要

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.

並列關鍵字

I-centric ； Recommender system ； Call for paper ； Cloud service ； Open API

參考文獻

[11] Google Calendar

[19] P. Melville and V. Sindhwani, “Recommender Systems,” Encyclopedia of Machine Learning, 2010.

[1] S. Arbanowski, P. Ballon, K. David, O. Droegehorn, H. Eertink, W. Kellerer, H. van Kranenburg, K. Raatikainen, R. Popescu-Zeletin, “I-centric Communications: Personalization, Ambient Awareness, and Adaptability for Future Mobile Services,” Communications Magazine, IEEE, Sept. 2004

[2] Call For Papers

[4] Conference Alerts

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智慧型研究協助系統

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