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Online transaction service aggregation method based on Hadoop

A technology of service aggregation and online transaction, which is applied in the direction of buying and selling/leasing transactions, special data processing applications, and commerce. It can solve problems such as the inability to meet e-commerce service aggregation and improve access efficiency.

Inactive Publication Date: 2011-01-26
NANJING UNIV OF FINANCE & ECONOMICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, the traditional centralized system can no longer meet the needs of e-commerce service aggregation, and it is imperative to build an e-commerce service aggregation platform with the help of distributed computing technology

Method used

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  • Online transaction service aggregation method based on Hadoop
  • Online transaction service aggregation method based on Hadoop

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Embodiment Construction

[0015] A Hadoop-based online transaction service aggregation method of the present invention, see figure 1 , this method submits the Web API classification and sorting module, online transaction service discovery module, online transaction service aggregation module, personalized data mining and analysis module, and aggregation service personalized recommendation module as Hadoop computing tasks to the platform. Intensive tasks are parallelized using the MapReduce programming framework to shorten task execution time. The specific workflow is as follows:

[0016] a), the Web API classification and sorting module classifies and sorts the APIs obtained from the service source according to the Hadoop algorithm; the service source includes ProgrammableWeb, Amazon, Google, Baidu, Yahoo on the Internet.

[0017] b), the e-commerce service discovery module selects Web APIs with high relevance and importance according to the classification and sorting results of Web APIs, and sends th...

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Abstract

The invention discloses an online transaction service aggregation method based on a Hadoop. The method comprises the following steps of: submitting a Web API (Application Programming Interface) sorting module, an online transaction service discovery module, an online transaction service aggregation module, a personalized data mining and analyzing module and an aggregation service personalized recommendation module as computation tasks of the Hadoop to a platform, parallelizing the computation-intensive tasks therein, and shortening task execution time. By utilizing a Web API with higher scores, the discovery of an electronic commerce service is realized, a large number of services with the same or similar functions are aggregated into different levels of aggregation services, therefore, the access efficiency of an electronic commerce site can be enhanced, more visitors are attracted, and the demand for electronic commerce service aggregation is satisfied.

Description

technical field [0001] The invention relates to a transaction method, in particular to a Hadoop-based online transaction service aggregation method. Background technique [0002] With the rapid development and popularization of the Internet, the fast, safe and low-cost features provide favorable conditions for the sustainable development of e-commerce at home and abroad, and become a transaction method generally accepted by consumers and businesses. The latest statistical report released by CNNIC shows that in 2009, the number of online transaction users in China reached 108 million, and the transaction volume reached 250 billion. Although e-commerce has developed rapidly in the world, various e-commerce websites have appeared one after another, the number of Internet users has increased sharply, and more and more netizens are gradually adapting to online shopping and consumption. The number of clicks received by consumers on shopping websites and online stores has increase...

Claims

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Application Information

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IPC IPC(8): G06Q30/00G06F17/30G06Q30/06
Inventor 曹杰伍之昂王有权张圣
Owner NANJING UNIV OF FINANCE & ECONOMICS
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