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  Published Paper Details:

  Paper Title

PERSONALIZING ACADEMIA USING DEEP NEURAL NETWORKS

  Authors

  S Sree Harsha,  Kotian Prajwal Vijay,  Swasthik BS,  Dr. Rekha Phadke

  Keywords

Recommender Systems, Deep Neural Networks, Collaborative Filtering, Matrix Factorization, Multi-layered perceptron

  Abstract


As students progress through their higher education, they find themselves in an Environment saturated with academic content available both offline in the form of subjects they can choose from or textbooks they can refer to and online in the form of educational content presented on various online platforms. Every student has a different method of understanding and getting stuck with a wrong reference can cause a slump in that topic, the worst-case scenario choosing a subject under pretences may lead to failure. The system itself has birthed the need for a platform that can give the students, not just accurate information pertaining to all the choices in front of them but also a personalized learning guide. This is what we strive to solve in our project.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2107586

  Paper ID - 210383

  Page Number(s) - f460-f465

  Pubished in - Volume 9 | Issue 7 | July 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  S Sree Harsha,  Kotian Prajwal Vijay,  Swasthik BS,  Dr. Rekha Phadke,   "PERSONALIZING ACADEMIA USING DEEP NEURAL NETWORKS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 7, pp.f460-f465, July 2021, Available at :http://www.ijcrt.org/papers/IJCRT2107586.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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