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Full-Text Articles in Social and Behavioral Sciences
Hybrid Translation And Language Model For Micro Learning Material Recommendation, Jiayin Lin
Hybrid Translation And Language Model For Micro Learning Material Recommendation, Jiayin Lin
Faculty of Engineering and Information Sciences - Papers: Part A
As an emerging pedagogy, micro learning aims to make use of people’s fragmented spare time and provide personalized online learning service, for example, by pushing fragmented knowledge to specific learners. In the context of big data, the recommender system is the key factor for realizing the online personalization service, which significantly determines what information will be fmally accessed by the target learners. In the education discipline, due to the pedagogical requirements and the domain characteristics, ranking recommended learning materials is essential for maintaining the outcome of the massive learning scenario. However, many widely used recommendation strategies in other domains showed …
Msis 2016: A Comprehensive Update Of Graduate Level Curriculum Recommendation In Information Systems, Heikki Topi, Susan A. Brown, Joao Alvaro Carvalho, Brian Donnellan, Helena Karsten, Jun Shen, Bernard C. Y Tan, Mark F. Thouin
Msis 2016: A Comprehensive Update Of Graduate Level Curriculum Recommendation In Information Systems, Heikki Topi, Susan A. Brown, Joao Alvaro Carvalho, Brian Donnellan, Helena Karsten, Jun Shen, Bernard C. Y Tan, Mark F. Thouin
Faculty of Engineering and Information Sciences - Papers: Part A
The process to revise MSIS 2006, the master's level curriculum recommendation for Information Systems, is getting close to completion. In spring and summer 2016, the joint AIS/ACM task force will continue the process of soliciting comments from various stakeholders, including the academic IS community and employers. The purpose of the AMCIS panel is to give the audience an update of the status of the MSIS 2016 revision process and provide the task force with feedback regarding the draft document. A significant portion of the session will be reserved for conversation. The task force is proposing significant changes to the curriculum …
A Personalized Hybrid Recommendation System Oriented To E-Commerce Mass Data In The Cloud, Fang Dong, Junzhou Luo, Xia Zhu, Yuxiang Wang, Jun Shen
A Personalized Hybrid Recommendation System Oriented To E-Commerce Mass Data In The Cloud, Fang Dong, Junzhou Luo, Xia Zhu, Yuxiang Wang, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
Personalized recommendation technology in Ecommerce is widespread to solve the problem of product information overload. However, with the further growth of the number of E-commerce users and products, the original recommendation algorithms and systems will face several new challenges: (1) to model user’s interests more accurately; (2) to provide more diverse recommendation modes; and (3) to support large-scale expansion. To address these challenges, from the actual demands of E-commerce applications (as Made-in-China website), a personalized hybrid recommendation system, which can support massive data set, is designed and implemented in this paper by using Cloud technology. Hereinto, the recommendation algorithms are …