Method and device for training service quality evaluation model

A quality assessment and service quality technology, applied in the field of training service quality assessment models, it can solve the problems of not being able to reflect sellers of different scales, prone to misjudgment error rates, and large judgment errors, so as to reduce repeated searches, high accuracy, and errors. low rate effect

Active Publication Date: 2016-01-06
ALIBABA GRP HLDG LTD
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Problems solved by technology

[0009] In view of this, this application provides a method and device for training a service quality evaluation model and a method for evaluating service quality, which are used to evaluate the service quality of sellers in the network data processing platform to solve the problems in the prior art. It cannot reflect the characteristics of sellers of different sizes. For sellers at the threshold boundary, the judgment error is relatively large, which is prone to misjudgment and technical problems such as large error rate and low accuracy rate.

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  • Method and device for training service quality evaluation model
  • Method and device for training service quality evaluation model
  • Method and device for training service quality evaluation model

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Embodiment Construction

[0066] The following describes in detail the main realization principles, specific implementation modes and corresponding beneficial effects of the technical solutions of the embodiments of the present application with reference to each accompanying drawing.

[0067] In order to solve the problem existing in the prior art that when evaluating the service quality of the quality evaluation object in the network data processing platform, the characteristics of sellers of different sizes cannot be reflected. In the case of a large error rate, a low accuracy rate, and an inaccurate search for technical problems, Embodiment 1 of the present application provides a method for training a service quality evaluation model and a method for evaluating service quality. To evaluate the service quality of sellers in the network data processing platform, first, classify the quality evaluation objects according to at least one parameter information, and then establish different service quality e...

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Abstract

The invention discloses a method and a device for training service quality evaluation models. The method and the device are used for evaluating service quality of a seller in an e-shop. The method comprises the steps of first carrying out sub-filing on quality evaluation objects according to at least one type of parameter information, then respectively establishing different service quality evaluation models in sub-files, and utilizing the models to evaluate service quality of sellers in the e-shop to comprehensively reflect the quality of the quality evaluation objects. The method and the device for training the service quality evaluation models have the advantages that the method and the device cannot misjudge the quality evaluation objects at the threshold boundary, effectively reduce repeated searching of a user, reduce burden of a search server and network bandwidth occupation, and are small in error rate, high in accuracy and accurate in searching.

Description

technical field [0001] The present application relates to the field of e-commerce, in particular to a method and device for training a service quality evaluation model. Background technique [0002] With the rapid development of the Internet, e-commerce plays an increasingly important role in the entire business field. At present, the network data processing platform is an important part of e-commerce. The service quality of sellers on the network data processing platform affects the healthy and orderly development of the entire e-commerce industry. How to evaluate the service quality of sellers on the network data processing platform is also become an increasingly important topic. [0003] The main method for evaluating the service quality of sellers in the network data processing platform in the prior art is to firstly calculate the characteristics of sellers from user behavior data, secondly count the distribution of various seller characteristics, and then formulate a s...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 陈曦
Owner ALIBABA GRP HLDG LTD
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