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Telecom user similarity finding method based on LDA subject model

A user similarity and topic model technology, applied in wireless communication, electrical components, data processing applications, etc., can solve problems affecting clustering accuracy and other issues

Active Publication Date: 2018-01-19
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0005] Although the existing telecom user similarity calculation method considers the characteristic attributes of user-related dimensions, it does not combine other characteristics of mobile users, such as the usage of mobile apps, browsing history, and location information of base stations. Therefore, the calculated The similarity value has certain limitations, which also indirectly affects the accuracy of subsequent clustering

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  • Telecom user similarity finding method based on LDA subject model
  • Telecom user similarity finding method based on LDA subject model
  • Telecom user similarity finding method based on LDA subject model

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Embodiment Construction

[0058] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and are not intended to limit the present invention.

[0059] A similarity discovery method for telecom users based on the LDA topic model considers the similarity characteristics of users from four levels, including:

[0060] The basic attributes of telecom users: each user is abstracted into a feature vector, and the cosine value of the angle between the vectors is used to measure the similarity of the basic attributes of users. The larger the value, the more similar features in the user's basic attributes.

[0061] User call records: First, from the perspective of call duration, the call duration not only depends on the measurement of the time when two...

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Abstract

The invention relates to the field of data mining, and particularly discloses a telecom user similarity finding method based on a latent Dirichlet allocation (LDA) subject model. The telecom user similarity finding method is a method organically linking multi-dimensional characteristics of telecom users with a subject finding algorithm based on a probability model, and considering from four different aspects: basic attributes, call records and short message records of the users, and position information, and connection start time and end time of all base stations to which the users are connected in a day. The method provided by the invention focuses on modeling an information corpus of the base stations to which the users are connected in one day by using the LDA subject model, digging potential subject information hidden in texts by using statistical properties of the texts to acquire subject distribution of the texts, computing similarity of the texts accordingly, and thus providingstrong guarantee for deeply digging similar characteristics of the telecom users.

Description

technical field [0001] The invention relates to a method for discovering the similarity of telecommunication users based on an LDA (Latent Dirichlet Allocation) topic model, belonging to the fields of data mining and topic models. Background technique [0002] In recent years, with the rise of the mobile Internet industry, the scale of the global telecommunications market has become larger and larger, technology updates have been faster and faster, and competition between operators and between operators and Internet companies has become increasingly fierce. Traditional call services and SMS services have been severely impacted by social network products of Internet companies. In response to this phenomenon, global telecom operators have proposed transformation strategies, shifting service strategies from business-centric to customer-centric. Therefore, operators must have a deeper understanding of customers, and then adjust operating strategies to provide users with better s...

Claims

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Application Information

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IPC IPC(8): H04W24/08G06Q50/30H04L12/24
Inventor 解绍词吴新凯徐光侠刘宴兵程金伟
Owner CHONGQING UNIV OF POSTS & TELECOMM
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