Renmin University of China

About: Renmin University of China is a education organization based out in Beijing, Beijing, China. It is known for research contribution in the topics: China & Population. The organization has 11325 authors who have published 15498 publications receiving 238419 citations. The organization is also known as: Renmin University & People's University of China.

Hierarchical reinforcement learning for course recommendation in MOOCs

Abstract: The proliferation of massive open online courses (MOOCs) demands an effective way of personalized course recommendation. The recent attention-based recommendation models can distinguish the effects of different historical courses when recommending different target courses. However, when a user has interests in many different courses, the attention mechanism will perform poorly as the effects of the contributing courses are diluted by diverse historical courses. To address such a challenge, we propose a hierarchical reinforcement learning algorithm to revise the user profiles and tune the course recommendation model on the revised profiles.Systematically, we evaluate the proposed model on a real dataset consisting of 1,302 courses, 82,535 users and 458,454 user enrolled behaviors, which were collected from XuetangX—one of the largest MOOCs in China. Experimental results show that the proposed model significantly outperforms the state-of-the-art recommendation models (improving 5.02% to 18.95% in terms of HR@10).

The international penetration of ibusiness firms: Network effects, liabilities of outsidership and country clout

Abstract: The burgeoning of ibusiness firms in the modern digital economy challenges the received internationalization theory. Given that ibusinesses such as social networking sites create value by providing a digital platform for users to interact with one another, we employ a user-network perspective and externalization logic, suggesting that ibusinesses’ internationalization process depends critically on users’ collective interactions, instead of being solely driven by firms’ market commitments, as noted by the Uppsala model. However, ibusinesses may suffer from liabilities of outsidership due to the boundedness of international network effects. Drawing on social network theory, we demonstrate that such liabilities can be mitigated by first diffusing the ibusiness platform in countries with higher clout. Our analysis using a unique dataset of mobile ibusiness platforms finds empirical support for the hypotheses. We discuss theoretical implications for the network approach of the Uppsala model in the digital era.