資訊共享空間(information commons)源始於大學圖書館，因融入教學與學習之元素，所以又被稱做學習共享空間(learning commons或learning space)。學習共享空間有三種類型，其中的整合的共享空間(integrated commons)著重數位化，整合了研究、教學與學習功能，並且將其融入到圖書館服務。而電子學習歷程檔案之功能在於呈現個人學習活動上的歷程與成果，透過學習歷程之記載來促使學習者進行自我反思。由於Web 2.0的興起，帶動了資源分享平台的出現，使用者可透過Web2.0工具來創造出多元化的學習資源分享的機會，而一些Web2.0的網站更提供了推薦或是關聯機制，便於使用者找到相似的資料或人，藉由彼此的分享締造出群體智慧的交流。
基於上述，本研究之目的在於將圖書館讀者推薦與電子學習歷程檔案結合，實現整合的學習共享空間，並且透過實驗來調查了解使用者的滿意度。學習者可以透過系統所提供的電子學習歷程服務來記載學習歷程記錄，以及分享個人之資訊或知識。除此之外，也可透過讀者推薦機制來找到閱讀同好，並且參訪其電子歷程檔案、借閱歷程，以及與其進行交流互動。最後實驗結果發現，系統品質、資訊品質以及認知系統好處會對使用者的滿意度有正面的影響。

Information commons originates from University Library. It is also called learning commons or learning space due to its learning characteristics. There are three types of information commons, one of which is integrated commons. The integrated commons integrates research, teaching and learning functions with library services. Electronic portfolios (e-portfolio) are platforms for students to record their learning portfolios, and activities which can enhance students’ reflection on learning. Because of the thriving of Web 2.0, users can use web2.0 tools to share their information and knowledge and to communicate with each other. Furthermore, some web2.0 sites also provide recommendation or relation mechanisms for users to find similar documents, articles or people easily.
Based on above theories, this research aims to implement integrated commons that belongs to learning commons and investigate readers’ overall satisfaction towards our system. In this study, we propose readers recommendation mechanism based on library records, and then integrate readers recommendation mechanism with e-portfolio service. Learners can record their learning portfolios and share their information or knowledge on e-portfolios provided by our system. Furthermore, learners can use readers recommendation mechanism to find people with similar reading interests, and visit their e-portfolios and reading records as well as discuss some topics about learning, reading, studying or interests with each other. Our experiment shows that system quality, information quality and perceived benefits have significant influences on users’ satisfaction.

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