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Research on the Performance of Network Propagation by Using the Machine Learning and Internet-of-Things Technology Integrating Model
We combine machine learning with Internet of Things technology to study the performance of network propagation model. This paper first introduces the construction environment of the business push system and then realizes user clustering and active business push by using the experimental data. Experi...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512607/ https://www.ncbi.nlm.nih.gov/pubmed/36172310 http://dx.doi.org/10.1155/2022/5480015 |
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author | Chen, Feng |
author_facet | Chen, Feng |
author_sort | Chen, Feng |
collection | PubMed |
description | We combine machine learning with Internet of Things technology to study the performance of network propagation model. This paper first introduces the construction environment of the business push system and then realizes user clustering and active business push by using the experimental data. Experimental results show that the active service push system constructed in this paper is feasible and effective. The experiment also compares and analyzes the influence of different clustering methods on the accuracy of service push. The results show that the clustering effect of the multi-Markov chain model (m-MCM) method is superior to that of the K-means method, a commonly used machine learning method, and the accuracy of user-service push obtained by the m-MCM method is superior to that obtained by the K-means method. Finally, on the basis of the existing experimental results, the shortcomings of the service push system are summarized, the future improvement direction and specific implementation measures are proposed, and new requirements for the future update of the service push system are put forward. |
format | Online Article Text |
id | pubmed-9512607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95126072022-09-27 Research on the Performance of Network Propagation by Using the Machine Learning and Internet-of-Things Technology Integrating Model Chen, Feng Comput Intell Neurosci Research Article We combine machine learning with Internet of Things technology to study the performance of network propagation model. This paper first introduces the construction environment of the business push system and then realizes user clustering and active business push by using the experimental data. Experimental results show that the active service push system constructed in this paper is feasible and effective. The experiment also compares and analyzes the influence of different clustering methods on the accuracy of service push. The results show that the clustering effect of the multi-Markov chain model (m-MCM) method is superior to that of the K-means method, a commonly used machine learning method, and the accuracy of user-service push obtained by the m-MCM method is superior to that obtained by the K-means method. Finally, on the basis of the existing experimental results, the shortcomings of the service push system are summarized, the future improvement direction and specific implementation measures are proposed, and new requirements for the future update of the service push system are put forward. Hindawi 2022-09-19 /pmc/articles/PMC9512607/ /pubmed/36172310 http://dx.doi.org/10.1155/2022/5480015 Text en Copyright © 2022 Feng Chen. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chen, Feng Research on the Performance of Network Propagation by Using the Machine Learning and Internet-of-Things Technology Integrating Model |
title | Research on the Performance of Network Propagation by Using the Machine Learning and Internet-of-Things Technology Integrating Model |
title_full | Research on the Performance of Network Propagation by Using the Machine Learning and Internet-of-Things Technology Integrating Model |
title_fullStr | Research on the Performance of Network Propagation by Using the Machine Learning and Internet-of-Things Technology Integrating Model |
title_full_unstemmed | Research on the Performance of Network Propagation by Using the Machine Learning and Internet-of-Things Technology Integrating Model |
title_short | Research on the Performance of Network Propagation by Using the Machine Learning and Internet-of-Things Technology Integrating Model |
title_sort | research on the performance of network propagation by using the machine learning and internet-of-things technology integrating model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512607/ https://www.ncbi.nlm.nih.gov/pubmed/36172310 http://dx.doi.org/10.1155/2022/5480015 |
work_keys_str_mv | AT chenfeng researchontheperformanceofnetworkpropagationbyusingthemachinelearningandinternetofthingstechnologyintegratingmodel |