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Method and device for pushing object to user based on reinforcement learning model

A technology of reinforcement learning and objects, applied in the field of machine learning, can solve time-consuming problems and achieve the effect of improving prediction accuracy

Pending Publication Date: 2019-12-06
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Traditional customer service is manpower / resource intensive and time consuming, therefore, it is important to build intelligent assistants that can automatically answer questions users face

Method used

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  • Method and device for pushing object to user based on reinforcement learning model
  • Method and device for pushing object to user based on reinforcement learning model
  • Method and device for pushing object to user based on reinforcement learning model

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Embodiment Construction

[0037] Embodiments of this specification will be described below with reference to the accompanying drawings.

[0038] figure 1 A schematic diagram of a process of pushing an object to a user according to an embodiment of the present specification is shown. The figure shows the process of making three consecutive decisions for the user 12 (ie the environment) through the reinforcement learning model 11 (ie, the agent) to make three pushes respectively. This reinforcement learning model is used, for example, in intelligent customer service to predict questions that users want to ask. In the embodiment of this specification, it is simulated that when a human encounters a problem, he will think of a series of tags and keywords corresponding to the problem, and an interactive problem recommendation method is designed, so that the traditional problem recommendation mode is transformed into Interactive question recommendation with user participation. According to the user's feedb...

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PUM

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Abstract

The embodiment of the invention provides a method for pushing an object to a user based on a reinforcement learning model. The method comprises the following steps: for a first user, carrying out continuous at most N rounds of pushing, wherein the ith round of pushing in the at most N rounds of pushing comprises the following steps: acquiring ith state information, the ith state information including static features and dynamic features, the static features including existing features of a first user before executing the method, and the dynamic features including identifiers of clicked objectspushed by the first user for the first i-1 rounds; and inputting the ith state information into the reinforcement learning model, determining a first predetermined number of first push objects from the plurality of first candidate objects through the reinforcement learning model, and determining a second predetermined number of second push objects from the plurality of second candidate objects.

Description

technical field [0001] The embodiments of this specification relate to the technical field of machine learning, and more specifically, relate to a method and device for pushing objects to users based on a reinforcement learning model. Background technique [0002] Traditional customer service is manpower / resource intensive and time consuming, therefore, it is important to build intelligent assistants that can automatically answer questions users face. Recently, there has been increased focus on how to use machine learning to better build such intelligent assistants. As the core function of customer service robots, user question prediction aims to automatically predict the questions that users may want to ask, and present candidate questions to users for their choice to reduce the cognitive load of users. The existing method of intent recognition (question recommendation) is to directly present a list of recommended questions to the user based on the characteristics of the u...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9532G06N20/00
CPCG06F16/9535G06F16/9532G06N20/00
Inventor 陈岑傅驰林张晓露
Owner ADVANCED NEW TECH CO LTD