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Interest retrieval method based on block chain and artificial intelligence and big data mining center

A technology of artificial intelligence and big data, applied in data processing applications, commerce, instruments, etc., can solve problems such as inability to effectively distinguish the target audience of products

Inactive Publication Date: 2021-07-06
陈炜炜
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In people's daily life, all kinds of advertisements are everywhere, the advertising market is shifting from mass marketing to segmented marketing, and in an era where products and consumers are constantly being subdivided, the limitations of traditional media can no longer effectively distinguish the goals of products audience

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  • Interest retrieval method based on block chain and artificial intelligence and big data mining center
  • Interest retrieval method based on block chain and artificial intelligence and big data mining center
  • Interest retrieval method based on block chain and artificial intelligence and big data mining center

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Embodiment approach

[0170] Wherein, the POI retrieval model and the configuration manner of the retrieval model can be realized through the following exemplary implementation manners:

[0171] (1) Obtain the POI retrieval content sample, POI retrieval model and retrieval model, and the retrieval label of the POI retrieval content sample is used to indicate the annotation result of the POI retrieval content sample under the advertisement push feedback information.

[0172] (2) Retrieve content samples based on points of interest, and determine user interest learning information samples for multiple advertising drainage paths.

[0173] (3) The user interest learning information samples are respectively input into multiple POI retrieval units in the POI retrieval model, and at least one POI retrieval content is obtained by performing at least one advertisement attention content matching through the POI retrieval unit.

[0174] Wherein, the at least one advertisement focus content matching performed ...

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Abstract

The embodiment of the invention provides an interest retrieval method based on a block chain and artificial intelligence and a big data mining center.The method comprises the following steps: determining user interest learning information of a plurality of advertisement drainage paths based on an advertisement drainage jump rotor graph; inputting the data into a plurality of interest point retrieval units in an interest point retrieval model respectively; and performing at least one advertisement attention content matching to obtain at least one advertisement attention content. At least one advertisement attention content matching is carried out based on an associated big data retrieval partition, and the associated big data retrieval partition is associated with advertisement attention contents extracted by other interest point retrieval units of the plurality of interest point retrieval units; in this way, the advertisement attention contents extracted from the different interest point retrieval units can be exchanged and fused at least once, then the advertisement attention contents of different levels can be subjected to interest point retrieval, the representation ability of crowd interest point retrieval is improved by enriching the levels of the advertisement attention contents, and therefore retrieval pertinence is better.

Description

[0001] This application is a divisional application with an application date of November 11, 2020, an application number of 202011253976.1, and an invention title of "Advertising Push Method and Big Data Mining Center Based on Blockchain and Artificial Intelligence". technical field [0002] This application relates to the field of artificial intelligence-based advertising push technology, specifically, an interest retrieval method based on blockchain and artificial intelligence and a big data mining center. Background technique [0003] In people's daily life, all kinds of advertisements are everywhere, the advertising market is shifting from mass marketing to segmented marketing, and in an era where products and consumers are constantly being subdivided, the limitations of traditional media can no longer effectively distinguish the goals of products audience. [0004] For advertising manufacturers, their advertising strategy involves a large amount of data optimization. Ho...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0244G06Q30/0254G06Q30/0255G06Q30/0269
Inventor 陈炜炜
Owner 陈炜炜