A Review of Academic Recommendation Systems Based on Intelligent Recommendation Algorithms
Huaiyuan Yang, Hua Zhou, Yucheng Li · 2022 7th International Conference on Image, Vision and Computing (ICIVC) · 2022
With the continuous increase and rapid iteration of the number of academic achievements published, it is difficult for researchers to find academic materials and literature related to their research fields. Recommendation system is the main method to deal with and alleviate network information overload at present, and it has been widely studied and applied in academia. In particular, the research on the academic recommendation system based on the intelligent recommendation algorithm has achieved certain development in recent years. This paper gives a brief overview of intelligent recommendation algorithms, and summarizes the current academic recommendation systems based on traditional intelligent recommendation algorithms and deep learning recommendation algorithms, hoping to provide assistance for related research.