Recommendation System for Students’ Course Selection

  • J. NarenEmail author
  • M. Zarina Banu
  • S. Lohavani
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 141)


Graduate students always face a dilemma when it comes to choosing electives every semester. Different data sets have been used in order to avoid this confusion and chaos. In order to help them choose their subjects as per their capability, we use data mining and natural language processing techniques that helps in conversion of human-readable format to machine-readable format, both of which are vastly emerging fields to propose a collaborative recommendation system.


Data mining Natural language processing Collaborative recommendation system 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.SASTRA Deemed To Be UniversityThanjavurIndia

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