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Behavior scene-based adaptive user portrait engine system and method

An adaptive algorithm and adaptive technology, applied in the field of big data, can solve problems such as label invalidation, and achieve the effect of solving invalidation and static

Inactive Publication Date: 2017-03-01
洑云龙
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Problems solved by technology

[0006] In order to overcome the deficiencies of the prior art, the present invention provides an adaptive user portrait engine system and method based on behavioral scenes, which can solve the problems of label invalidation and staticization by adopting an adaptive algorithm

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  • Behavior scene-based adaptive user portrait engine system and method

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Embodiment Construction

[0021] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0022] The present invention provides an adaptive user portrait engine system based on behavioral scenarios, including a signal-connected priority classification system and a dynamic tag mining system. Tags whose rank is lower than the threshold are in an invalid state; the dynamic tag mining system extracts suspicious candidate attributes in real time according to an adaptive algorithm, and after judgment, the prioritization system determines whether to become an available tag.

[0023] The working process includes the following steps:

[0024] S1. According to the industry classification, obtain the high-priority tag attributes in the industry;

[0025] S2. Using a variety of data mining algorithms to obtain the degree of association with the pre-set label attributes, thereby obtaining the sorted weight value;

[0026] S3. Setting a threshold to ex...

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Abstract

The invention discloses a behavior scene-based adaptive user portrait engine system and method. The adaptive user portrait engine system comprises a priority division system and a dynamic tag mining system which are in signal connection; a threshold for judging whether a tag is invalid or not is preset in the priority division system, and the priority division system is used for enabling the tag with the priority lower than the threshold to be in an invalid state; and the dynamic tag mining system extracts suspicious candidate attributes in real time according to an adaptive algorithm, and the priority division system determines whether the tag becomes an available tag or not after judgment. According to the system and the method, the threshold is set by the priority division system, so that the tag with the priority lower than the threshold can be enabled to be in the invalid state, and an optimal portrait model is ensured; and the suspicious candidate attributes are extracted in real time by the adaptive algorithm, and the priority division system determines whether the tag becomes an available tag or not after judgment, so that the problems of tag invalidation and staticizing can be solved.

Description

technical field [0001] The present invention relates to the field of big data, in particular to an adaptive user portrait engine system and method based on behavioral scenes. Background technique [0002] After the Internet gradually enters the era of big data, it will inevitably bring a series of changes and reshaping to the behavior of enterprises and consumers. The biggest change is that all behaviors of consumers will be "visualized" in front of enterprises. With the in-depth research and application of big data technology, enterprises are increasingly focusing on how to use big data to serve precision marketing, and then deeply tap potential business value. Therefore, the concept of "user portrait" came into being. [0003] User Profile, as the foundation of big data, perfectly abstracts the whole picture of a user's information, and provides a sufficient data foundation for further accurate and rapid analysis of important information such as user behavior habits and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/2465G06Q30/0201
Inventor 洑云龙汤立伟
Owner 洑云龙
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