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Caching method for reading and writing massive user and post data in part-time post recommendation system

A recommendation system, data reading and writing technology, applied in multi-dimensional databases, database models, network data retrieval, etc., can solve problems such as information overload, and achieve the effects of increasing real-time performance, reducing data loss, and increasing high concurrency capabilities.

Active Publication Date: 2021-07-16
杭州弧途科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, online recruitment encounters a problem: information overload, that is to say, users of online recruitment have to face a large number of recruitment positions / job resumes. How to select relevant information that is useful to users from the massive information is a difficult problem.

Method used

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  • Caching method for reading and writing massive user and post data in part-time post recommendation system

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Effect test

Embodiment

[0027] Embodiment: A caching method for reading and writing data of massive users and positions in a part-time job recommendation system, such as figure 1 As shown, including the recommendation system, the recommendation system obtains the data of the data center platform through the memory cache management, and the offline computing platform (using the technology stack of big data (mainly Hadoop)) is set in the data center platform, and all the data are prepared before the calculation starts. Input data, the input data will not change, and the computing mode that the calculation result will be obtained immediately after solving a problem), real-time computing platform (a real-time data computing mode based on cloud server), algorithm platform and data warehouse; the memory cache management is provided with distributed cache, JVM heap memory and JVM heap memory;

[0028] The offline computing platform calculates the data in the data warehouse, writes the calculation results in...

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Abstract

The invention discloses a caching method for reading and writing massive user and post data in a part-time post recommendation system, which is characterized in that multiple types of data exist in a recommendation system link, the storage mode of the data in a memory is reasonably divided, and the data are loaded as required; data is respectively stored in a JVM in-heap memory, a JVM out-heap memory and a large-scale distributed cache according to business characteristics and data magnitude of the data in a recommendation system. When the recommendation system reads the data, the data of each link can be stored at the most reasonable position according to the data characteristics and the data magnitude, on one hand, cache storage of mass data is guaranteed, on the other hand, low delay and high throughput of the recommendation system are guaranteed, and the real-time performance of the data of each link is guaranteed to a great extent; therefore, rapid and accurate recommendation service is provided for the user, and the user experience is improved.

Description

technical field [0001] The invention relates to the application field of data reading processing, in particular to a caching method for reading and writing data of a large number of users and positions in a part-time job recommendation system. Background technique [0002] At present, the recruitment industry is undergoing rapid development and transformation. On the one hand, with the emergence of the Internet and the wave of national entrepreneurship, various industries are facing industrial upgrading. The focus of enterprise competition is the competition for talents, and talent recruitment has become the top priority of each enterprise . On the other hand, with the popularization of mobile Internet and the maturity of big data technology, online recruitment has become an efficient and convenient way of recruitment. But online recruitment encounters a problem: information overload, that is to say, users of online recruitment have to face a large number of recruitment pos...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/958G06F9/445G06F16/2455G06F16/28G06Q10/10
CPCG06F16/9535G06F16/958G06F16/24552G06F16/283G06Q10/1053G06F9/44521Y02D10/00
Inventor 吴永生吴建周佳宁赵洪涛
Owner 杭州弧途科技有限公司
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