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User experience quality confirmation method and system

A quality of experience, user technology, applied in the field of computer networks, can solve problems such as difficulty in obtaining, influence of user cooperation, user interference, etc.

Active Publication Date: 2015-06-10
BEIJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

Although this method of manual investigation collects a large amount of data, it still needs to send a questionnaire to the user every time the quality of user experience is obtained, allowing the user to rate the quality of experience
This undoubtedly brings interference to users. At the same time, this method that requires user ratings every time is also easily affected by user cooperation, and it is difficult to obtain

Method used

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  • User experience quality confirmation method and system
  • User experience quality confirmation method and system
  • User experience quality confirmation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0121] Step 1. Define the structure of the neural network computing model, such as figure 2 Shown:

[0122] The neural network computing model can be divided into three layers: input layer, hidden layer and output layer.

[0123] Among them, the input layer includes eight variables: previous user experience quality x 1 , business experience x 2 , own background x 3 , physical and mental state x 4 , expect x 5 , network status x 6 , service quality x 7 and terminal mass x 8 . Among them, the hidden layer also includes a denoising module, which is used to evaluate the previous user experience quality x 1 , business experience x 2 , own background x 3 , physical and mental state x 4 , expect x 5 Bad data etc. are removed.

[0124] The input layer includes a data feedback switch, which is used to control whether the QoE calculated last time is used as the previous user quality of experience x 1 Enter this calculation process.

[0125] The hidden layer can include ...

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Abstract

The invention provides a user experience quality confirmation method and a user experience quality confirmation system. The user experience quality confirmation method and the user experience quality confirmation system can use network data obtained under multiple network states to train and test a neural network calculation model, and input network quality parameters collected from a network into the current training model which passes through a test after the current training model passes through the test so as to figure out user experience quality. Due to the fact that neural network calculation model which is trained and passes through the test can figure out the user experience quality according to the network quality parameters collected from the network, the user experience quality confirmation method and the user experience quality confirmation system can obtain the user experience quality without need of enabling a user to grade the user experience quality after the neural network calculation model which passes through the test is obtained. Accordingly, the user experience quality confirmation method and the user experience quality confirmation system further reduce interference brought to the user during the obtaining process of the user experience quality, and are difficultly influenced by compliance of the user.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to a method and system for determining user quality of experience. Background technique [0002] With the development of information technology, people's demand for network and information is growing explosively, and they also have higher requirements for network quality. [0003] Compared with QoS, Quality of Experience (QoE) can better reflect the user's actual feeling of network quality, and can also affect the user's access behavior to the network. Therefore, operators mostly evaluate network quality and improve services provided by user experience quality. At the current stage, operators need to spend a lot of manpower to obtain user experience quality by sending questionnaires to users and asking users to rate the experience quality. Although this method of manual investigation collects a large amount of data, it still needs to send a questionnaire to the user ever...

Claims

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Application Information

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IPC IPC(8): H04L29/08
Inventor 滕颖蕾满毅宋梅袁得嵛张勇王莉谷群吴军甫程刚王雅莉
Owner BEIJING UNIV OF POSTS & TELECOMM
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