Neural network and Markov based combination prediction algorithm of video popularity
Caching popular video into user-side in advance improves the user experience and reduces operator costs, which is a common practice in the industry.How to effectively predict the popularity of videos has become a hot issue in the industry.On account of the shortcomings of traditional prediction algo...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2021-08-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021116/ |
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| _version_ | 1841528964239065088 |
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| author | Xuesen MA Shuyou CHEN Xiangdong XU Zhaokun CHU |
| author_facet | Xuesen MA Shuyou CHEN Xiangdong XU Zhaokun CHU |
| author_sort | Xuesen MA |
| collection | DOAJ |
| description | Caching popular video into user-side in advance improves the user experience and reduces operator costs, which is a common practice in the industry.How to effectively predict the popularity of videos has become a hot issue in the industry.On account of the shortcomings of traditional prediction algorithms such as poor nonlinear mapping ability, low prediction accuracy and weak adaptability, a video popularity prediction algorithm based on a neural network and Markov combined model (Mar-BiLSTM) was proposed.Information dependencies were preserved by constructing bidirectional memory network model (bi-directional long short-term memory, BiLSTM), the prediction accuracy of the model was further improved by using Markov properties while avoiding the increase of the complexity of the model caused by the introduction of external variables.Experimental results show that compared with traditional time series and classic neural network algorithms, the proposed algorithm improves predicting accuracy, effectiveness and reduces the amount of calculation. |
| format | Article |
| id | doaj-art-bfeb06eb6c0d40699e359393dc10806f |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2021-08-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-bfeb06eb6c0d40699e359393dc10806f2025-01-15T03:32:31ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-08-0137182659814402Neural network and Markov based combination prediction algorithm of video popularityXuesen MAShuyou CHENXiangdong XUZhaokun CHUCaching popular video into user-side in advance improves the user experience and reduces operator costs, which is a common practice in the industry.How to effectively predict the popularity of videos has become a hot issue in the industry.On account of the shortcomings of traditional prediction algorithms such as poor nonlinear mapping ability, low prediction accuracy and weak adaptability, a video popularity prediction algorithm based on a neural network and Markov combined model (Mar-BiLSTM) was proposed.Information dependencies were preserved by constructing bidirectional memory network model (bi-directional long short-term memory, BiLSTM), the prediction accuracy of the model was further improved by using Markov properties while avoiding the increase of the complexity of the model caused by the introduction of external variables.Experimental results show that compared with traditional time series and classic neural network algorithms, the proposed algorithm improves predicting accuracy, effectiveness and reduces the amount of calculation.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021116/popularity predictioncontent cachingBiLSTM networkMarkov |
| spellingShingle | Xuesen MA Shuyou CHEN Xiangdong XU Zhaokun CHU Neural network and Markov based combination prediction algorithm of video popularity Dianxin kexue popularity prediction content caching BiLSTM network Markov |
| title | Neural network and Markov based combination prediction algorithm of video popularity |
| title_full | Neural network and Markov based combination prediction algorithm of video popularity |
| title_fullStr | Neural network and Markov based combination prediction algorithm of video popularity |
| title_full_unstemmed | Neural network and Markov based combination prediction algorithm of video popularity |
| title_short | Neural network and Markov based combination prediction algorithm of video popularity |
| title_sort | neural network and markov based combination prediction algorithm of video popularity |
| topic | popularity prediction content caching BiLSTM network Markov |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021116/ |
| work_keys_str_mv | AT xuesenma neuralnetworkandmarkovbasedcombinationpredictionalgorithmofvideopopularity AT shuyouchen neuralnetworkandmarkovbasedcombinationpredictionalgorithmofvideopopularity AT xiangdongxu neuralnetworkandmarkovbasedcombinationpredictionalgorithmofvideopopularity AT zhaokunchu neuralnetworkandmarkovbasedcombinationpredictionalgorithmofvideopopularity |