Student selection is of crucial importance for supervisors who are choosing students for postgraduate studies or research projects.Due to the challenge of asymmetric information,it is difficult for them to find suitab...Student selection is of crucial importance for supervisors who are choosing students for postgraduate studies or research projects.Due to the challenge of asymmetric information,it is difficult for them to find suitable candidates.The existing methods do not work so well in the web 2.0 context which is inundated with vast online information.In order to overcome the deficiency,a research social network enhanced approach is proposed to provide decision support.It appeals to supervisors to adopt the proposed user-driven social marketing strategy.Meanwhile,this study mainly presents a system-driven personalized recommendation approach to support supervisors'decisions of student selection.The proposed method distinguishes supervisors based on their co-author networks to extract their potential preferences of collaboration styles.Subsequently,corresponding recommendation strategies are employed to provide personalized student recommendation services for targeted supervisors.A prototype is implemented on ScholarMate which provides online communication channels for researchers.A user study is conducted to verify the effectiveness of the proposed approach.The results enlighten designers to consider the differences among different users when designing recommendation strategies.展开更多
用户界面描述语言是实现模型驱动的用户界面开发的重要方式.当前的用户界面描述语言一方面在对不同物理特性的交互设备上的用户界面的描述能力不足;另一方面,缺乏可扩展性及界面描述的组成部分的可复用性.针对上述问题,设计出一种界面...用户界面描述语言是实现模型驱动的用户界面开发的重要方式.当前的用户界面描述语言一方面在对不同物理特性的交互设备上的用户界面的描述能力不足;另一方面,缺乏可扩展性及界面描述的组成部分的可复用性.针对上述问题,设计出一种界面描述语言——E-UIDL(extensible user interface description language).该语言遵循层次化、模块化的设计原则,能够支持多设备、多通道的用户界面的描述,并通过实例说明描述语言对笔式用户界面开发、多设备界面自动生成以及自适应用户界面开发的支持,深入地阐述了E-UIDL的特性.展开更多
基金Fujian Provincial Education Department Project,China(No.JAS180414)Putian University Project,China(No.2018061)Fujian Provincial Social Science Project,China(No.FJ2017C009)。
文摘Student selection is of crucial importance for supervisors who are choosing students for postgraduate studies or research projects.Due to the challenge of asymmetric information,it is difficult for them to find suitable candidates.The existing methods do not work so well in the web 2.0 context which is inundated with vast online information.In order to overcome the deficiency,a research social network enhanced approach is proposed to provide decision support.It appeals to supervisors to adopt the proposed user-driven social marketing strategy.Meanwhile,this study mainly presents a system-driven personalized recommendation approach to support supervisors'decisions of student selection.The proposed method distinguishes supervisors based on their co-author networks to extract their potential preferences of collaboration styles.Subsequently,corresponding recommendation strategies are employed to provide personalized student recommendation services for targeted supervisors.A prototype is implemented on ScholarMate which provides online communication channels for researchers.A user study is conducted to verify the effectiveness of the proposed approach.The results enlighten designers to consider the differences among different users when designing recommendation strategies.
文摘用户界面描述语言是实现模型驱动的用户界面开发的重要方式.当前的用户界面描述语言一方面在对不同物理特性的交互设备上的用户界面的描述能力不足;另一方面,缺乏可扩展性及界面描述的组成部分的可复用性.针对上述问题,设计出一种界面描述语言——E-UIDL(extensible user interface description language).该语言遵循层次化、模块化的设计原则,能够支持多设备、多通道的用户界面的描述,并通过实例说明描述语言对笔式用户界面开发、多设备界面自动生成以及自适应用户界面开发的支持,深入地阐述了E-UIDL的特性.
