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  Published Paper Details:

  Paper Title

Personalized Recommendation System for Digital Content

  Authors

  Gadu Srinivasa Rao,  Kandregula Uday Chand,  Paila Goutham,  Kukkamudi Satvik,  Aditya Varanasi

  Keywords

Digital content recommender system, Content-based filtering, Metadata, keyword embedding, Keyword concatenation, Personalized recommendations, User preferences.

  Abstract


Personalization is an essential element of any content access. Currently, there are only a few platforms that offer personalized digital content services. The platform offers personalized recommendations over Podcasts and Standup Comedy based on user genre preferences. The metadata available in the video descriptions is utilized to enhance search results and proficiency in the topic area. This will provide a personalized environment in which to explore the various genres available. The recommendation will be made using content-driven algorithms. The initial recommendations are based on popularity and then personalized recommendations are made based on acquired data. The final website includes a friendly platform that offers personalized recommendations. Monitoring of user satisfaction and engagement will be monitored and provided with additional content.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2405657

  Paper ID - 255308

  Page Number(s) - g67-g76

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Gadu Srinivasa Rao,  Kandregula Uday Chand,  Paila Goutham,  Kukkamudi Satvik,  Aditya Varanasi,   "Personalized Recommendation System for Digital Content", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.g67-g76, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405657.pdf

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


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