A smiling face finance intelligent recommendation resource rapid matching pool division algorithm

A financial and intelligent technology, applied in finance, computing, instruments, etc., can solve problems that cannot meet business needs, achieve the effects of increasing system availability, solving frequent operation of data sources, and reducing database pressure

Pending Publication Date: 2019-04-26
深圳光华普惠科技有限公司
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Problems solved by technology

[0003] The traditional recommendation algorithm is only responsible for product recommendation, but when the number of products is insufficient, it is necessary to design a seckill algorithm, which cannot meet the needs of existing businesses

Method used

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  • A smiling face finance intelligent recommendation resource rapid matching pool division algorithm
  • A smiling face finance intelligent recommendation resource rapid matching pool division algorithm

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Embodiment Construction

[0023] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.

[0024] see Figure 1-2 , a smiley financial intelligent recommendation resource fast matching pool division algorithm is characterized in that it comprises the following steps:

[0025] (1) The asset system accepts the information of the asset party through the external http interface, and enters it into the database for storage, obtains the entered information list of the object through the asset system, obtains the object data, and after obtaining the object, through the attribute of the object (repayment method, repayment term, amount, etc.) to divide the target into different target pools;

[0026] (2) When assigning the target, the target id will be recorded to prevent the target from being repeatedly allocated to the target pool, and at the same time add attributes such as weight, total amount, and quantity to the target pool for processing ...

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Abstract

The invention provides a smiling face finance intelligent recommendation resource rapid matching pool division algorithm. Target selling process, the object and object pool weight can be adjusted through the background, the object selling sequence is controlled, a timing task is started every minute to check the object and order state, the system fault-tolerant rate is increased, the object id, the amount of money, the state and other factors are used for conducting comprehensive idempotent verification rules, and the problem that the object places an order repeatedly is solved; According to the method, an existing recommendation algorithm is enhanced and improved, so that the recommendation algorithm better conforms to a company system, the pressure problem of the system is solved, the concurrency of users is increased, and the experience degree of the users is improved.

Description

technical field [0001] The invention relates to a recommendation algorithm, in particular to a fast matching and pooling algorithm for intelligent recommendation resources of Smile Finance. Background technique [0002] Recommendation algorithm is an algorithm in computer science. Through some mathematical algorithms, users may like things. At present, the best place to apply recommendation algorithm is mainly the Internet. The so-called recommendation algorithm is to use some behaviors of users, through some mathematical algorithms, to infer what the user may like. [0003] The traditional recommendation algorithm is only responsible for product recommendation, but when the number of products is insufficient, it is necessary to design a flash sale algorithm, which cannot meet the needs of existing businesses. Contents of the invention [0004] The purpose of the present invention is to provide a fast matching and pooling algorithm for intelligent recommendation resources...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2455G06Q40/06
CPCG06Q40/06
Inventor 张继超
Owner 深圳光华普惠科技有限公司
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