Telecommunication field package recommending method based on intelligent customer service robot interaction

A technology of intelligent customer service and robots, applied in the fields of instruments, digital data processing, and computing, can solve the problem of not considering semantic understanding, and achieve the effect of improving the quality of recommendation and improving efficiency.

Inactive Publication Date: 2012-10-31
EAST CHINA NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the current intelligent automatic question answering system, the main focus is on the knowledge base, shallow semantic analysis and other issues, and has not considered the semantic underst

Method used

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  • Telecommunication field package recommending method based on intelligent customer service robot interaction
  • Telecommunication field package recommending method based on intelligent customer service robot interaction
  • Telecommunication field package recommending method based on intelligent customer service robot interaction

Examples

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Embodiment Construction

[0029] figure 1 It shows a flow chart of a method for controlling package recommendation in the telecommunications field based on the interaction of an intelligent customer service robot according to a specific embodiment of the present invention. First, step S101 is executed, and the user logs in. Those skilled in the art understand that when the user opens the client program provided by the present invention, he will first enter the user login interface. The user at least needs to fill in the correct user name and corresponding password in the corresponding position of the login interface, and click the 'login' button to log in. Further, the user login interface can refer to the following Figure 7 The description of the illustrated embodiment will not be repeated here.

[0030] Next, step S102 is executed to determine whether the user is a registered user. Those skilled in the art understand that, specifically, the server-side program provided by the present invention e...

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Abstract

The invention provides a telecommunication field package recommending method based on intelligent customer service robot interaction. The method comprises the following steps: a. acquiring a user interest model; and b. recommending individual demand-satisfied package service for a user by adopting a decision tree algorithm. The invention further provides an intelligent customer service robot system recommending engine device. Compared with the existing recommending method, the telecommunication field package recommending method is based on a scene interaction model in a recommending process, and can be used for carrying out similarity calculation according to similarity among the calculation labels, calculating the similarity among the labels by combining similarity between semantic similarity calculation with the traditional TF-IDF (Term Frequency-Inverse Document Frequency) in the similarity calculation, better reflecting the characteristics of users and resources by applying labels to show resource and user models, and improving the recommending quality.

Description

technical field [0001] The present invention relates to a method for controlling package recommendation in the telecommunications field based on dialogue between intelligent customer service robots, especially based on the process of interaction between users and intelligent robots, which acquires user interest and behavior models, understands real-time needs of users, introduces decision tree algorithms, and recommends objects It is a telecom package business and belongs to the field of personalized recommendation technology. Background technique [0002] With the development of the Internet, information has grown exponentially, and this information has gradually become an important source of information for answering users' questions. Traditional search engines return a large number of relevant or irrelevant web page links, and it is difficult for users to quickly find the answers they want from these links. Therefore, people long for an intelligent information retrieval ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 杨燕顾君忠贺樑杨静曹慧静陈俊奎张少飞冯竣俍杜玉清
Owner EAST CHINA NORMAL UNIV
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