Self-media user selection method and related equipment
A self-media and user technology, applied in neural learning methods, natural language data processing, instruments, etc., can solve the problems of waste of cost and difficulty in selecting target users accurately, and achieve the effect of accurate evaluation results.
Pending Publication Date: 2022-06-03
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology
[0002] In the selection of relevant self-media users, there are often huge challenges. It is difficult to select target users with greater influence and certain information dissemination capabilities based on multiple criteria. In the cooperation between merchants and self-media users, due to the selection of target users Difficult to be accurate, often resulting in waste of a certain cost
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[0058] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application will be further described in detail below with reference to specific embodiments and accompanying drawings.
[0059] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present application shall have the usual meanings understood by those with ordinary skill in the art to which the present application belongs. "First", "second" and similar words used in the embodiments of the present application do not denote any order, quantity or importance, but are only used to distinguish different components. "Comprises" or "comprising" and similar words mean that the elements or things appearing before the word encompass the elements or things recited after the word and their equivalents, but do not exclude other elements or things.
[0060] As described in the backgroun...
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The invention provides a self-media user selection method and a related device, and the method comprises the steps: periodically obtaining initial data of a plurality of pre-selected users, and obtaining a relation feature, an influence feature, a fan feature, an emotion feature and a propagation degree feature of each pre-selected user; performing clustering on all the pre-selected users by using a clustering algorithm according to the relationship characteristics, and determining a plurality of candidate users in the pre-selected users of each category; weighting the influence features of the candidate users by adopting an extreme gradient lifting algorithm to obtain influence scores; calculating a fan importance score by using fan characteristics; constructing an emotion analysis model by using an autoregression language model, a cyclic convolutional neural network and an attention mechanism to obtain an emotion score; and carrying out interval fuzzy processing by utilizing the spreading degree feature, the influence score, the fan importance score and the emotion score to obtain a target weight, inputting the target weight into a preset multi-criterion decision framework to obtain a comprehensive value of the candidate user, and determining a target user according to the comprehensive value.
Description
technical field [0001] The embodiments of the present application relate to We-Media data processing technologies, and in particular, to a We-Media user selection method and related equipment. Background technique [0002] In the selection of relevant self-media users, there are often huge challenges. It is difficult to select target users with greater influence and certain information dissemination ability based on multi-party criteria. In the cooperation between merchants and self-media users, due to the selection of target users It is difficult to be accurate, and it often results in a waste of a certain cost. [0003] Based on this, there is a need for a solution that can achieve comprehensive multi-faceted evaluation and accurately select users with greater influence. SUMMARY OF THE INVENTION [0004] In view of this, the purpose of this application is to propose a self-media user selection method and related equipment. [0005] Based on the above purpose, the prese...
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Login to View More IPC IPC(8): G06F40/30G06F40/289G06K9/62G06N3/04G06N3/08
CPCG06F40/30G06F40/289G06N3/08G06N3/045G06F18/23213G06F18/2415
Inventor 王晓湘林雪松陈劲伊刘至成彭亮韩万江魏鹏王玉龙
Owner BEIJING UNIV OF POSTS & TELECOMM