Recommendation system: National Institute rank prediction using Machine Learning

被引:0
|
作者
Himaja, Gadi [1 ]
Rao, Gadu Srinivasa [1 ]
Naidu, Gali Akarsh [2 ]
Nagothi, Tirumalesh [2 ]
Dalli, Susmitha [2 ]
机构
[1] Gitam Deemed Be Univ, Visakhapatnam, Andhra Pradesh, India
[2] Gitam Deemed Univ, Visakhapatnam, Andhra Pradesh, India
关键词
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Predicts future university or college rankings and to design a Recommendation system that notifies institutions of which factors could be addressed to improve their future rankings. The approach for constructing a system that predicts the ranking of university by evaluating the indicators of performance for national university is provided in this research. Here the datasets used are from the NIRF. Then based on the score of previous years, we predict the rank by giving the performance indicators to the model. Later, a recommendation system was built which tells a university or college which parameters must be improved so as to get better rankings in the future [1] [2].
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页码:146 / 152
页数:7
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