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Online advertisement push method based on user behavior data and potential user influence analysis and push evaluation method thereof

An online advertising and influence technology, applied in marketing and other directions, can solve the problem of not being able to tap the influence of potential users

Active Publication Date: 2015-10-28
JINJUAN MEDIA TECH CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the defect that the potential user influence cannot be excavated in the prior art, and provide an online advertisement push method and its push evaluation method based on user behavior data and potential user influence analysis to solve the above problems

Method used

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  • Online advertisement push method based on user behavior data and potential user influence analysis and push evaluation method thereof
  • Online advertisement push method based on user behavior data and potential user influence analysis and push evaluation method thereof
  • Online advertisement push method based on user behavior data and potential user influence analysis and push evaluation method thereof

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Embodiment Construction

[0053] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0054]Such as figure 1 As shown, an online advertisement push method and its push evaluation method based on user behavior data and potential user influence analysis described in the present invention use techniques such as probabilistic topic models, hidden Markov models, and natural language processing, combined with historical Media information and user behavior database information, through the network influence propagation model, compares and analyzes the media information to be released (including its video, picture, voice and text), and can accurately predict the potential impact of the media information before it is released The scope of power and the corresponding affected population. It includes the following steps:

[005...

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Abstract

The invention relates to an online advertisement push method based on user behavior data and potential user influence analysis and a push evaluation method thereof. Compared with methods in the prior art, a defect that potential user influence cannot be dug out can be solved. The online advertisement push method based on the user behavior data and potential user influence analysis and the push evaluation method thereof comprise the following steps that feature extraction of media information and user information is performed; modeling is performed on the basis of network propagation influence; potential influence people are marked out; and push effect evaluation is performed. The user and media information can be considered in prediction of media propagation range, and the propagation effect of the media information among users can also be considered so that real influence of the media information in the network can be more accurately analyzed and predicted.

Description

technical field [0001] The invention relates to the technical field of data prediction and recommendation, in particular to an online advertisement push method based on user behavior data and potential user influence analysis and a push evaluation method thereof. Background technique [0002] The traditional online advertising push system only selects the users who are most likely to buy the product according to the product, and then pushes the advertisement information to these users. However, the traditional advertising system ignores the dissemination process and way of advertising information after being pushed to these users. For an online advertising marketing system, one of the most basic criteria is: according to the product to be marketed, choose to promote the product to a group of potential users, and finally buy the product with the largest number of users, and at the same time generate the largest profit. Therefore, if the users who are most likely to purchase ...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 金琦李焱黄牧范红黄甜甜
Owner JINJUAN MEDIA TECH CO LTD
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