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Method and system for recommending communication services to users

A technology for communication services and users, which is applied in transmission systems, electrical components, market data collection, etc., can solve problems such as high computing resources and inability to obtain effective results, and achieve the effect of reducing the amount of computing, improving computing efficiency and practical effects

Active Publication Date: 2022-06-07
CHINA TELECOM CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the number of customers is usually very large (for example, millions), direct use of this traditional collaborative filtering recommendation technology will take up extremely high computing resources (need to calculate the similarity between all users), resulting in restricted In the general computing environment, effective results are often not obtained

Method used

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  • Method and system for recommending communication services to users
  • Method and system for recommending communication services to users
  • Method and system for recommending communication services to users

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Embodiment Construction

[0041] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of the components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

[0042] Meanwhile, it should be understood that, for the convenience of description, the dimensions of various parts shown in the accompanying drawings are not drawn in an actual proportional relationship.

[0043] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application or uses in any way.

[0044] Techniques, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considere...

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Abstract

The disclosure provides a method and system for recommending communication services to users, and relates to the technical field of data mining. The method includes: determining each dimension of the communication service based on the user's existing communication service; performing binning processing on each dimension, and assigning the user to a corresponding feature group according to the binning result; based on the binning result Find the similar group of the user, calculate the proportion of the communication service structure of the similar group, and use the proportion of the communication service structure as the recommendation probability; and select the communication service with the highest recommendation probability among all the communication service structures to be recommended to the user As a recommendation result, the communication service is recommended to the user. The present disclosure can significantly reduce the calculation amount and improve the calculation efficiency and practical effect under the premise of basically guaranteeing the recommendation accuracy.

Description

technical field [0001] The present disclosure relates to the technical field of data mining, and in particular, to a method and system for recommending communication services to users. Background technique [0002] Collaborative filtering technology is a typical recommendation technology. Mainly through the user's own attributes and past consumption records, it finds groups with similar interests and common experience, and recommends information that users are interested in according to the preferences of similar groups. Individuals give the object a considerable degree of response (such as scoring) through a cooperative mechanism, and based on the recording and calculation of these responses to achieve the purpose of filtering, and then help others to filter information, and achieve personalized content recommendation. [0003] RFM (Recency Frequency Monetary, recent consumption, consumption frequency, consumption amount) technology is a common customer grouping and value ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L67/51H04L67/55G06Q30/02
CPCG06Q30/0201H04L67/51H04L67/55
Inventor 虞苏妍田盼
Owner CHINA TELECOM CORP LTD