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Method and device for ordering services based on artificial intelligence

A technology of service sorting and artificial intelligence, which is applied in the field of information processing, can solve problems such as the inability to display good results of other services, and achieve accurate results

Active Publication Date: 2020-04-14
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main defect of the existing technology is: when the intelligent interaction system in the general domain uses rules to sort services, if multiple downstream services can satisfy the defined rules, the system will forcefully specify the return result of a certain service, causing other services to fail. The results of can not be displayed

Method used

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  • Method and device for ordering services based on artificial intelligence
  • Method and device for ordering services based on artificial intelligence
  • Method and device for ordering services based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] figure 1 It is a flow chart of an artificial intelligence-based service ranking method provided in Embodiment 1 of the present invention. The method can be executed by an artificial intelligence-based service ranking device, which can be implemented by software and / or hardware, and can generally be integrated into an intelligent In the background server of the interactive system (for example, Duer). Such as figure 1 As shown, the method of this embodiment specifically includes:

[0027] 110. Obtain a downstream service result queue corresponding to the query input by the user.

[0028] In this embodiment, the query formula refers to one or more keywords or a natural sentence input by the user to the intelligent interactive system through voice or text input.

[0029] For a query type entered by the user, there will be multiple different types of services downstream of the intelligent interactive system to meet the different types of needs of the user. For example, w...

Embodiment 2

[0061] image 3 It is a schematic flowchart of an artificial intelligence-based service ranking method provided in Embodiment 2 of the present invention. This embodiment is embodied on the basis of the above embodiments. In this embodiment, it also includes: updating the demand analysis module according to the newly added downstream service; using the updated demand analysis module, and maintaining the existing The service ordering model of the model parameter is used to score the downstream service result queue obtained after the downstream service is added. Correspondingly, the method in this embodiment specifically includes:

[0062] 210. Obtain a downstream service result queue corresponding to the query input by the user.

[0063] 220. Input the query formula into at least two demand analysis modules to perform demand analysis, and obtain demand feature values ​​output by each of the demand analysis modules.

[0064] 230. Input the demand feature values ​​into the serv...

Embodiment 3

[0074] Figure 4 It is a schematic flowchart of an artificial intelligence-based service ranking method provided by Embodiment 3 of the present invention. This embodiment is embodied on the basis of the above-mentioned embodiments. In this embodiment, after obtaining the downstream service result queue corresponding to the query formula input by the user, it also includes: grouping the downstream service result queue according to the service category ; According to the preset service priority filtering rules, filter out the downstream services with low priority in the group, so that only one downstream service is included in each group;

[0075] At the same time, after sorting the downstream services, it also includes:

[0076] According to the ranking result, obtain the top downstream service as the target service, and obtain the target model score of the target service;

[0077] Selecting the set accuracy rate as the confidence level, and determining whether the target mod...

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Abstract

The invention discloses a service ranking method and device based on artificial intelligence. which includes: obtain downstream service result queue corresponding with the query formulation of users' inputting; input the query formulation into a requirement analysis module and obtaining the demand characteristic value of each requirement analysis module outputting;input the demand characteristic value into a service ranking mode, according to setting a feature organization mode;input the downstream service result queue into the service ranking model, and rank each downstream service according to the model score corresponding with each downstream service output by the service ranking model. The technical scheme could divide service by the feature organization mode of the ranking stage, proposes solution towards the sequencing problem of different source data, and sorts out different types of service to make partial features comparable. The technical scheme has the advantage of achieving portraying more precisely to the query formulation, and making that the final chosen service is closer to users' actual demand.

Description

technical field [0001] Embodiments of the present invention relate to information processing technologies, and in particular to an artificial intelligence-based service ranking method and device. Background technique [0002] Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. [0003] With the continuous development of artificial intelligence technology, intelligent interactive systems came into being. Typical intelligent interactiv...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 胡鹏龙彭志洺于佃海佘俏俏
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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