A rule-based real-time decision-making system and method

A decision-making system and rule-based technology, applied in the field of big data processing, to achieve precise marketing behavior, increase conversion rate, and achieve the effect of marketing behavior

Active Publication Date: 2020-09-04
北京百分点科技集团股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

An effective rule-based real-time decision-making method is still lacking

Method used

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  • A rule-based real-time decision-making system and method
  • A rule-based real-time decision-making system and method
  • A rule-based real-time decision-making system and method

Examples

Experimental program
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Embodiment 1

[0044] This embodiment provides a rule-based real-time decision system, such as figure 1 shown, including:

[0045] Kafka platform: used to provide real-time user behavior log data for decision processing;

[0046] Kudu database: used to store the user's behavior log data of the day, and the decision results of each batch of decision processing;

[0047] hive database: associated with the kudu database, used to store the user's historical behavior log data and all historical decision-making results; the kudu database regularly updates the data to the hive database;

[0048] Raw data input module: associated with the Kafka platform and the hive database respectively, for reading the real-time user's behavior log data from the Kafka platform, and reading the user's historical behavior log data or historical decision results from the hive database;

[0049] Data analysis and filtering module: associated with the original data input module, used to analyze and filter the data inpu...

Embodiment 2

[0102] This embodiment provides a method for making real-time decisions using the rule-based real-time decision-making system in Embodiment 1, such as figure 2 shown, including the following steps:

[0103] S1. The raw data input module reads real-time user behavior log data from the kafka platform;

[0104] S2. The data analysis and filtering module analyzes the format of the behavior log data input from the original data input module, converts it into a set format, and filters according to the set rules;

[0105] S3. Decision tree analysis tree monitors whether the decision tree configuration in Zookeeper has changed. If there is a change, read the latest decision tree configuration from Zookeeper and parse it, convert it into the set format, and then load it into the decision forest module, if there is no change, jump directly to step S4;

[0106] Load the latest decision tree configuration into the decision forest module. If a newly added decision tree needs to be built...

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Abstract

The invention discloses a rule-based real-time decision system and a method thereof. The system mainly comprises a Kafka platform, a kudu database, a hive database, an original data input module, a data analysis filter module, a decision tree configuration module, a Zookeeper, a decision tree parser, a decision forest module and a connection pool. The method can collect and monitor the user behavior log data real-timely, in accordance with that requirement of the marketing scenario, builds an automated marketing scenario rule tree, connects users' online and offline behaviors, judges users' labels, characteristics and behaviors in real time, and then achieves the accurate access to users through different channels such as short messages, emails, APP push messages, and realizes the interactive communication with users, so as to achieve the effect of establishing brand image or improving conversion rate, and achieve the marketing behavior of accurate marketing.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a rule-based real-time decision-making system and method. Background technique [0002] Currently, the main problem marketers face is that they cannot truly realize real-time data-driven marketing. This is mainly because it is a slow and expensive manual task to connect all data through different customer touchpoints and data sources. There are many systems but they are separated from each other, resulting in data faults, lack of necessary unified data analysis and no effective action after analysis. However, it is not enough to have the ability to gain insight in order to close the product loop from analysis, insight, and marketing to customers. In order to achieve maximum value, in addition to insight analysis for users, there must also be actions that can be implemented. An effective rule-based real-time decision-making method is still lacking. Contents of the i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F7/00G06F13/00
CPCG06Q10/0637G06Q30/0255
Inventor 苏萌梁培明胡为松苏海波杜晓梦黄伟
Owner 北京百分点科技集团股份有限公司
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