The use of recommendation algorithms in the youtube application in deep learning-based analysis of relevant content searches

Authors

  • Diaul Fikri Universitas Panca Budi Medan
  • Salim Universitas Pembangunan Pancabudi
  • Iqrom Universitas Pembangunan Pancabudi
  • Supina Universitas Pembangunan Pancabudi

DOI:

https://doi.org/10.61306/ijecom.v3i1.78

Keywords:

Social Media Youtube Algoritma Rekomendasi Deep Learning

Abstract

YouTube's algorithm is a complex system used by the platform to choose what videos to show to each user. These algorithms work based on a number of factors including user preferences, browsing history, and previous interactions. In other words, these algorithms are designed to provide the most relevant and engaging viewing experience for users.

YouTube's algorithm uses machine learning and massive data analysis to understand user behavior. For example, if a user often watches videos about cooking, the algorithm will tend to show more videos about cooking recipes. The algorithm also considers other factors such as view count, view duration, number of likes, video topic, keyword usage, viewing history and user location.

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Published

05-07-2024

How to Cite

Fikri, D., Ahmad Salim, Rafli Iqrom, & Supina Batubara. (2024). The use of recommendation algorithms in the youtube application in deep learning-based analysis of relevant content searches. International Journal Of Computer Sciences and Mathematics Engineering, 3(1), 71–75. https://doi.org/10.61306/ijecom.v3i1.78

Issue

Vol. 3 No. 1 (2024): June 2024

Section

Articles

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