Business service request processing method and device

Abstract

The invention discloses a business service request processing method and device. The business service request processing method includes: receiving a business service request, wherein the business service request comprises a plurality of business characteristic items; if the business characteristic item which is matched with a characteristic index in a service decision set is existed in the business characteristic items, calling a sub-service decision set corresponding to the characteristic index in the service decision set or a service plug-in to process the business service request. Through carrying out hierarchical classification on the business characteristic items and leading in the characteristic items in the service decision process to serve as the decision index, the original total characteristic matching is changed into characteristic matching in hierarchical range, and accordingly the decision speed is improved, and the system efficiency is improved; the decision result precision is reinforced, and the business requirement satisfaction degree of the system is improved; through distributing index rules to the referenced sub-sets when constructing the service decision, the service plug-in can be used repeatedly in different scenarios, and accordingly the reuse rate of the system components is improved.

Description

technical field [0001] Embodiments of the present invention relate to information processing technologies, and in particular, to a method and device for processing business service requests. Background technique [0002] The amount of global information is growing at an annual growth rate of more than 59%. Whether it is the management system in the traditional telecommunications field or the fast-growing e-commerce system, it needs to focus on solving the rapid expansion of information volume, type and speed to manage data and business. posed significant challenges. One of the important capabilities of the information management system is to convert a large amount of business behavior information into correct and effective business decisions. Under the current situation, business information comes from more channels: attributes of items themselves, transaction behavior factors, multi-dimensional demand scene perception of various cooperation portals, etc.; types of informat...

AI Technical Summary

Problems solved by technology

However, in the prior art, when the service decision server responds to business service requests, it introduces the full set of feature items and matching rules every time to perform full matching operations to obtain the decision service result set. The system execution cost is high, resulting in waste of performance.

In addition, when the service decision server in the existing technology is faced with new business requirements and decision information items, it not only needs to upgrade the decision rule factor items, but also needs to perform full inspection and arrangement of the service decision result set to complete demand coverage.

When there are more and more customer demands and the business scope of the system expands rapidly, the later upgrade is extremely complicated, and the cost of adaptation, upgrade, assembly and maintenance of service components is very high

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