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Feature analysis method and device based on continuous interaction and medium

A technology of feature analysis and interactive content, applied in the field of communication, can solve the problems of lack of accurate response, efficient communication to determine customer intentions, low efficiency of feature analysis and feature data generation, and inability to use communication interactively, so as to improve good experience and communication efficiency. , avoid the occupation of communication resources and reduce the efficiency of interaction, and the effect of simple and easy feature analysis

Pending Publication Date: 2021-11-09
作业帮教育科技(北京)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, the feature analysis is usually for a single call, but for scenarios where multiple calls are made, such as calling a potential customer three times within a week to recommend a course, etc., only a single call can be analyzed. Analysis, the dynamic and continuous increase of different feature data and dimensions of each call will change accordingly, it is impossible to complete feature analysis in a simple, efficient and accurate manner to determine the feature data of a fixed dimension, and it is impossible to make decisions based on changes in communication interactions that last for a period of time Effective utilization, assisting follow-up trend prediction, status evaluation, control of communication resource occupancy, etc.
For example, for the customer service robot in the telemarketing scene, it is always a single call for follow-up communication and execution interaction, and it is impossible to decide whether to continue follow-up execution in the case of multiple calls actually made by the same potential customer Accurate and efficient judgments such as interaction, continue to occupy communication resources for situations that do not need to be followed up, and at the same time, it also lacks deficiencies in accurate response, efficient communication, and determination of customer intentions in the communication mode of communication interaction
Obviously, the feature analysis and feature data generation of multiple interactions in the prior art are inefficient and complicated, and the user experience is poor

Method used

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  • Feature analysis method and device based on continuous interaction and medium
  • Feature analysis method and device based on continuous interaction and medium
  • Feature analysis method and device based on continuous interaction and medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0039] In order to make the object, technical solution and advantages of the present invention clearer, the implementation of the method of the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0040] here will combine figure 1 A flowchart illustrating the main steps of one embodiment of the method of the present invention is shown. The method mainly includes:

[0041] Step S110: Obtain the target interactive content, and group the interactive content belonging to the same target among the interactive content.

[0042] Step S120: Calculating the features of the interactions in each group of interactive content, and concatenating the features of each group to generate feature data.

[0043] Step S130: According to the feature data, make a judgment to predict the development trend of the interaction, control whether to continue the communication interaction, and / or evaluate th...

Embodiment 2

[0071] In order to make the object, technical solution and advantages of the present invention clearer, the implementation of the device of the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0072] here will combine figure 2 A block diagram showing the main structure of an embodiment of the method of the present invention will be described. In this embodiment, the device at least includes a grouping module B210, configured to: obtain target interactive content, and group interactive content that belongs to the same target in the interactive content; a generating module B220, configured to calculate the interaction content in each group of interactive content The features of each group are concatenated to generate feature data; the prediction module B230 is used to make judgments based on the feature data to predict the development trend of the interaction, control whether ...

Embodiment 3

[0101] An overall application scenario is described below in conjunction with Embodiments 1 and 2 to further illustrate the implementation process of the present invention:

[0102] In the telemarketing scenario, according to the list of target customers, multiple calls were made to a certain target customer A within a week, for example, one call per day, a total of seven calls, assuming call numbers A001, A002, ... A007. Select the phone calls made to customer A for a period of time assuming that the consecutive working days of the week are 5 days, five times, from Monday to Friday, numbered 001 to 005, and it is an odd number of multiple calls, preferably divided into two groups: the first The group has 001, 002, 003 and the second group has 003, 004, 005.

[0103] Using the existing NLP semantic analysis technology, based on the text conversion of the call, that is, the call voice is recognized by ASR as the corresponding text, and the analysis and calculation are performed...

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PUM

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Abstract

The invention relates to the technical field of communication, and is particularly suitable for analysis of multiple interactions in intelligent communication interaction. The invention provides a feature analysis method and device based on continuous interaction and a medium aiming at solving the technical problem of how to carry out change analysis on information of single-pass and / or multi-pass interaction records continuously generated in communication interaction in order to simply and efficiently realize feature analysis and improve the communication interaction efficiency, and aims at solving the technical problem of how to carry out change analysis on information of single-pass and / or multi-pass interaction records continuously generated in communication interaction, and interaction trend prediction, intelligent communication control, interaction state evaluation and the like are facilitated. Therefore, according to the method disclosed by the invention, grouping and feature calculation of predetermined conditions are performed according to continuously generated interaction information, and the feature data are determined through the spliced features, so that the trend is judged, communication is controlled, the interaction state is evaluated and the like according to the feature data, efficient, convenient and accurate subsequent prediction control and evaluation are facilitated, and the user experience is improved.

Description

technical field [0001] The invention belongs to the technical field of communication, and is particularly suitable for multiple interaction analysis in communication interaction, and more specifically relates to a feature analysis method, device and medium based on continuous interaction. Background technique [0002] With the development of communication technology and artificial intelligence technology, people and people, people and machines, machines and machines can communicate and interact with various intelligent or non-intelligent terminals, such as audio and video, text and text conversations or communication interactions. , two-way communication, etc. Taking the scenario where telemarketing is referred to as telemarketing as an example, the customer service party or the seller can use the terminal to use the network, fax, SMS, mail delivery and other auxiliary methods, and use a dedicated marketing number (such as a telemarketing number) to communicate with customer...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/21G06F18/214
Inventor 王博弘王佳奇王明阳蒋宏飞宋旸杨林张骁逸温亮霍灿君
Owner 作业帮教育科技(北京)有限公司