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Recommendation system is a widely used artificial intelligence application, widely selected by researchers all over the world. This innovation has been increasingly intertwined in all areas of our life since the dawn of the Internet. This will be the methodical analysis of the literature that reveals the application of machine learning algorithms to the recommender system; Such reviews frequently discover a series of issues or unanswered questions that need to be tasted in order to help software engineers choose which research should be a priority. The description of algorithmic algorithms is included: similarities, strengths and limitations, grace metrics for the algorithm, and a record of the sample value of the assessment prediction. Algorithms are mainly focused with filtering algorithms on the basis of the proximity of users or objects, as well as on the basis of content. In the design section, the description flow of the databases used and compiled of the Movie lens site.

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A Systematic Analysis on the Effective Employment of Machine Learning Techniques in Approval Systems

  • 会议论文

  • 发表日期：

    2026年

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  • G. Madhukar,
  • Mrutyunjaya S. Yalawar,
  • Maggidi Mounika,
  • Vivekanand Aelgani

摘要

Recommendation system is a widely used artificial intelligence application, widely selected by researchers all over the world. This innovation has been increasingly intertwined in all areas of our life since the dawn of the Internet. This will be the methodical analysis of the literature that reveals the application of machine learning algorithms to the recommender system; Such reviews frequently discover a series of issues or unanswered questions that need to be tasted in order to help software engineers choose which research should be a priority. The description of algorithmic algorithms is included: similarities, strengths and limitations, grace metrics for the algorithm, and a record of the sample value of the assessment prediction. Algorithms are mainly focused with filtering algorithms on the basis of the proximity of users or objects, as well as on the basis of content. In the design section, the description flow of the databases used and compiled of the Movie lens site.