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A data recommendation system and data recommendation method thereof

A data recommendation and database technology, applied in the direction of database management system, multi-dimensional database, database model, etc., to achieve the effect of strengthening maintainability, reducing complexity, and strong reusability

Active Publication Date: 2020-02-28
ULTRAPOWER SOFTWARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a data recommendation system and its data recommendation method to solve the above-mentioned technical problems existing in the existing data recommendation system

Method used

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  • A data recommendation system and data recommendation method thereof
  • A data recommendation system and data recommendation method thereof
  • A data recommendation system and data recommendation method thereof

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Embodiment Construction

[0040] The core idea of ​​the present invention is: the data recommendation system usually includes five modules, which are respectively: data acquisition module, data storage module, data analysis module, data push module and process management module; The data acquisition method acquires massive user data, and the frequency of data acquisition can be divided into batch update or full update. The data storage module is to store the data collected by the data acquisition module. At present, in the big data environment, the amount of data is large, and the storage time is required to be long. The requirement for data storage is to have strong disaster tolerance and reliability. The data analysis module is used for personalized analysis and processing of data, and provides personalized recommendation information for different users. The data push module selects a push channel to push the personalized recommendation information obtained by the data analysis module to the user. T...

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Abstract

The invention discloses a data recommendation system and a data recommendation method. The data recommendation system comprises a configuration management display layer used for visually configuring a data storage layer, an analysis layer and a scheduling layer according to different application scenes, the data storage layer used for storing data and providing a corresponding data storage mode, the analysis layer used for providing required programs and algorithms for the scheduling layer, and the scheduling layer used for scheduling the programs and the algorithms provided by the analysis layer by utilizing a scheduling rule, generating a scheduling result and returning the scheduling result to the analysis layer, wherein the analysis layer is further used for obtaining the data from the data storage layer according to the scheduling result, analyzing the data and outputting an analysis result to the data storage layer; and the configuration management display layer is further used for obtaining the analysis result from the data storage layer and visually displaying the analysis result, thereby realizing data recommendation. According to the technical scheme provided by the system and the method, the complexity of use is lowered and resource sharing is facilitated by adopting a visual and editable configuration management mode.

Description

technical field [0001] The invention relates to the technical field of data recommendation, in particular to a data recommendation system and a data recommendation method thereof. Background technique [0002] With the development of data informatization, the amount of data is increasing rapidly, and big data is showing a trend of diversification and decentralization. Along with the growth of data volume, the problem of redundant and difficult to distinguish information also arises. In the big data environment, most information is redundant for ordinary users, and users may only be interested in certain information. In order to solve the problem of information overload, data recommendation systems are usually used at present. The essence of the data recommendation system is to analyze the user's historical activity records through the accumulated massive data, including the user's page visit, application visit, download, comment, purchase, interaction and other information,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/2458G06F16/25G06F16/28
CPCG06F16/2471G06F16/252G06F16/283G06F16/9535
Inventor 张明陈幸东袁双林
Owner ULTRAPOWER SOFTWARE