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Data processing, training method and device for pushing knowledge points

A technology of knowledge points and user nodes, applied in the field of artificial intelligence, can solve problems such as failure to accurately match user needs, and achieve the effect of reducing invalid push

Active Publication Date: 2020-10-09
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this solution can meet the primary needs of some users, the recommended content for different users is almost the same, and user needs are diverse. For many users, the high-frequency knowledge points pushed by the system are not the knowledge they are interested in points, failed to accurately match user needs

Method used

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  • Data processing, training method and device for pushing knowledge points
  • Data processing, training method and device for pushing knowledge points
  • Data processing, training method and device for pushing knowledge points

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Embodiment Construction

[0070] Multiple embodiments disclosed in this specification will be described below in conjunction with the accompanying drawings.

[0071] The data processing method for pushing knowledge points disclosed in this manual can at least be applied to intelligent customer service scenarios, for example, it can be applied to cloud customer service systems to provide more intelligent customer service system solutions for enterprises using cloud customer service. Specifically, it can be applied to Cloud customer service robots and other products.

[0072] In the intelligent customer service scenario, in addition to the aforementioned scheme of uniformly recommending high-frequency knowledge points to users, there are also some other knowledge point push schemes that need to be improved. For example, the inventor discovered during the research process that a customer service robot uses a deep learning model to identify problems through a classification algorithm. When a user enters th...

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Abstract

The embodiment of the invention provides a data processing and training method and device for pushing knowledge points. The method comprises the steps of extracting a multiple meta-paths conforming toa preset format based on a heterogeneous graph, obtaining a first feature corresponding to each node in the heterogeneous graph, inputting the multiple meta-paths into a pre-trained graph neural network model, aggregating the first features of the nodes on the multiple meta-paths through the graph neural network model, and at least outputting second features corresponding to user nodes and / or knowledge point nodes as path endpoints, wherein the second features are used for matching the user nodes and the knowledge point nodes so as to push corresponding knowledge points to users. According tothe scheme, the user requirements can be more accurately matched.

Description

technical field [0001] The embodiments of this specification relate to the technical field of artificial intelligence, in particular, to data processing and training methods and devices for pushing knowledge points. Background technique [0002] The customer service system is an essential basic service facility for most enterprises. Compared with manual customer service, intelligent customer service supports functions such as large-scale knowledge management, natural language understanding, and automatic question and answer. It not only provides enterprises with the statistical analysis information required for refined management, but also Establish a fast and effective technical means based on natural language for the communication between enterprises and mass users. For example, cloud customer service is an important intelligent customer service technology. The cloud customer service robot can be responsible for answering users’ simple text questions. Predict the user's p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06N5/02
CPCG06F16/3329G06N5/022
Inventor 杨明晖陈晓军陈显玲崔恒斌
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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