Abstract

With the rapid development of information science today, multifunctional and intelligent applications have gradually become the focus of attention. In the data management system, the first consideration is the reliability of the data source, followed by the intelligent processing after the data are collected. Due to the upgrade of the Internet to the Internet of Things, the way of network information transmission has also become a problem that people need to think about. The transmission mode of network information services will be converted from the passive transmission of information by traditional servers to the form of actively pushing information. The application of intelligent push technology in the field of the Internet of Things is a prominent and important direction in the development of the Internet of Things. This article mainly introduces the research on the intelligent music push and data analysis system based on the 5G Internet of Things, with the intention of providing some ideas and directions for the research of the music intelligent push and play and data analysis system. This paper proposes a research method for music intelligent push playback and data analysis system based on 5G Internet of Things, including current intelligent push related technologies, music evaluation matrix, user dissimilarity matrix, and music feature similarity calculation. The experimental results in this paper show that with the increase in the number of users, the accuracy of the recommended results of the system under the Hadoop framework gradually stabilizes, eventually reaching 91.2%.

Highlights

  • With the development of information science and technology, rapid mining of required information has become a research hotspot

  • Due to the variability of music platform user interest preferences and the timeliness of information [1], it is necessary to use user behavior records to make timely recommendations to users, that is, online processing of streaming data is a necessary condition for real-time music recommendation systems

  • Akpakwu investigated the latest IoT application requirements and related communication technologies and discussed in detail a cellular-based low-power wide-area (LPWA) solution based on the ird Generation Partnership Project (3GPP) to support and enable targeted new service requirements for key IoT use cases for large-scale IoT, including an expanded global mobile communication system for the Internet of ings (EC-GSM-IoT), enhanced machine type communication and narrowband Internet of ings (NB-IoT)

Read more

Summary

Introduction

With the development of information science and technology, rapid mining of required information has become a research hotspot. Due to the variability of music platform user interest preferences and the timeliness of information [1], it is necessary to use user behavior records to make timely recommendations to users, that is, online processing of streaming data is a necessary condition for real-time music recommendation systems. Akpakwu investigated the latest IoT application requirements and related communication technologies and discussed in detail a cellular-based low-power wide-area (LPWA) solution based on the ird Generation Partnership Project (3GPP) to support and enable targeted new service requirements for key IoT use cases for large-scale IoT, including an expanded global mobile communication system for the Internet of ings (EC-GSM-IoT), enhanced machine type communication (eMTC) and narrowband Internet of ings (NB-IoT). Akpakwu presented a comprehensive overview related to emerging technologies and enabling technologies, mainly focusing on 5G mobile networks, aiming to support the realization of IoT-based intelligent push systems. Method of Music Intelligent Push Playback and Data Analysis System Based on 5G Internet of Things

Related Technology
Overall System Structure
User Analysis of Music Smart Push Platform
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call