Novel Recommendation-Based Approach for Multidisciplinary Development of Future Universities

Siguo Bi, Wei Ni, Yi Jiang and Xin Wang
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Siguo Bi: Library, Fudan University, Shanghai 200433, China
Wei Ni: Commonwealth Scientific and Industrial Research Organisation, Sydney, NSW 2122, Australia
Yi Jiang: Department of Communication Science and Engineering, Fudan University, Shanghai 200433, China
Xin Wang: Department of Communication Science and Engineering, Fudan University, Shanghai 200433, China

Sustainability, 2022, vol. 14, issue 10, 1-18

Abstract: Multidisciplinary sustainable development is an important and complex system for comprehensive universities. Typically, a comprehensive university’s objective is to create a free, open, and diversified ecosystem of disciplines. Given finite available resources, e.g., funding or investment, configuring the formation of disciplines is critical. Understanding the interrelationships among different disciplines is challenging. Rather than directly wading through massive high-dimensional interrelated data, we judiciously formulate the cumbersome configurations of disciplines as a discipline recommendation problem. In this paper, we propose a novel data-driven approach to the configuration of disciplines based on a recommendation to predict and recommend an appropriate configuration of disciplines. The proposed approach exhibits good performance against standard metrics on real-world public data sets. It can be implemented as an attractive engine for constructing disciplines for universities.

Keywords: discipline development; recommender system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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