Research on restaurant recommendation using machine learning

@article{Pan2022ResearchOR,
  title={Research on restaurant recommendation using machine learning},
  author={Junan Pan and Zhihao Zhao},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.05113}
}
: A recommender system is a system that helps users filter irrelevant information and create user interest models based on their historical records. With the continuous development of Internet information, recommendation systems have received widespread attention in the industry. In this era of ubiquitous data and information, how to obtain and analyze these data has become the research topic of many people. In view of this situation, this paper makes some brief overviews of machine learning… 

References

SHOWING 1-10 OF 34 REFERENCES

Overview of machine learning

The most widely studied problem in machine learning is supervised learning. We are given a labeled training set of input-output pairs, D = (xi, yi)i=1, and have to learn a way to predict the output

Design and implementation of scoring system based on intelligent recommendation model

    Analysis of the application of artificial intelligence technology in the field of e-commerce

    • [J]. China Business Review,
    • 2019

    Design of Intelligent Recommendation Algorithm Based on Latent Semantic Model

    • Science and Technology Communication
    • 2018

    Design and implementation of a product recommendation system based on face recognition [ J ]

    • Computer Age

    Research Progress and Prospects of Ranking Learning [J

    • Chinese Journal of Automation,
    • 2018

    Traffic data analysis and application based on machine learning [J

    • Modern Information Technology,
    • 2018

    Research Progress and Prospects of Ranking Learning

      Traffic data analysis and application based on machine learning

        Artificial intelligence and its application in network optimization operation and maintenance [ J ]

        • Telecommunications Engineering Technology and Standardization
        • 2018