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A prediction method of microblog forwarding volume based on ts-lstm and dnn

A forecasting method and forwarding volume technology, applied in forecasting, data processing applications, instruments, etc., can solve the problems of microblog forwarding volume connection, inaccurate results, and failure to combine user characteristics, etc., to achieve the effect of accurate similarity calculation

Active Publication Date: 2021-12-07
CHENGDU UNIV OF INFORMATION TECH
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AI Technical Summary

Problems solved by technology

[0007] (1) In the calculation of user influence, PageRank is simply used to calculate the number of fans and followers of the user, without combining more user characteristics, so the calculation of influence is not accurate
[0008] (2) At the same time, with the development of the Internet, the number of Weibo users increases, and the time spent by users on Weibo increases, and the amount of reposts of Weibo will also increase with time. Previous literature did not take this issue into consideration
[0009] (3) For the prediction of Weibo forwarding volume, most of the prediction models are established based on the user’s Weibo characteristics and historical Weibo forwarding volume, and the Weibo forwarding volume is not connected with the user’s fans, which will inevitably lead to the final inaccurate result

Method used

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  • A prediction method of microblog forwarding volume based on ts-lstm and dnn
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  • A prediction method of microblog forwarding volume based on ts-lstm and dnn

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Embodiment Construction

[0108] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0109] The existing technology does not combine the user's microblog content with the interests of the user's fans, and at the same time, the eigenvectors used in the influence calculation method are also insufficient.

[0110] From a macro point of view: with the rapid development of the Internet, the microblog platform has gradually become popular since its launch, and the number of microblog users is increasing year by year. Trend, therefore, the present invention defines such influencing factors as time goes by, the rapid development of the network, the increase of user fans year by year, and the different popularity of...

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Abstract

The invention belongs to the technical field of network information processing, and discloses a microblog reposting volume prediction method based on TS-LSTM and DNN, using all microblogs posted by users as source data, extracting 10 user features as input, microblog The magnitude of forwarding is used as the output, and the TS-LSTM prediction model is established to predict the forwarding index of the specified microblog; according to the user's own influence, the influence of the user's fans, the similarity of the microblog features between the user and the fans, the characteristics of the microblog and the prediction The retweeted specified Weibo’s retweet index characteristics are used as input, and whether active fans will retweet is used as output. Finally, the number of retweets will be counted to obtain the final retweet level of the predicted target Weibo. The TS-LSTM algorithm proposed by the present invention is combined with DNN to model and predict microblog forwarding, and the experimental demonstration has at least 5% improvement compared with the previous method.

Description

technical field [0001] The invention belongs to the technical field of network information processing, and in particular relates to a microblog forwarding volume prediction method based on TS-LSTM and DNN. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Due to its convenient application and open information platform, Weibo has become an important platform for information diffusion and public opinion dissemination. Microblog forwarding is an important way of microblog dissemination, and it is also one of the most critical issues in the study of microblog information dissemination and public opinion monitoring. Solving this problem can not only better understand the characteristics of public opinion dissemination on Weibo, and lay a foundation for public opinion analysis and monitoring; it can also recommend Weibo or advertisements to users by mining the interest characteristics of users’ Weibo content...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/00G06N3/04
CPCG06Q10/04G06Q50/01G06N3/045
Inventor 张路桥穆圣坤王娟李飞石磊
Owner CHENGDU UNIV OF INFORMATION TECH
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