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User position prediction method and device

A prediction method and a technology of a prediction device, which are applied to services based on location information, electrical components, wireless communications, etc., can solve problems such as low accuracy and large amount of calculation, and achieve the effect of improving accuracy and improving user experience

Active Publication Date: 2019-09-20
CHINA UNITED NETWORK COMM GRP CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

[0003] However, the user behavior prediction method adopted by the above-mentioned prior art usually has the problems of low accuracy and large amount of computation.

Method used

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  • User position prediction method and device

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Embodiment Construction

[0018] The user location prediction method and device provided in the present application will be described in detail below with reference to the accompanying drawings.

[0019] The terms "first" and "second" in the specification and drawings of the present application are used to distinguish different objects, rather than to describe a specific order of objects.

[0020] In addition, the terms "including" and "having" mentioned in the description of the present application, as well as any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes other unlisted steps or units, or optionally also includes Other steps or elements inherent to the process, method, product or apparatus are included.

[0021] It should be noted that, in the embodiments of the present application, words such as "exemplary" ...

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Abstract

The invention provides a user position prediction method and device, and relates to the field of communication, which can complete user position prediction through the stay time of an activity place where a user terminal is located and the target probability, improves the accuracy of user position prediction, and improves the user experience. The method comprises the following steps: acquiring an activity track of at least one user terminal; generating an initial Bayesian network model according to the movement track and the target probability of the at least one user terminal; determining an effective position of the to-be-identified user terminal; acquiring an activity track of the to-be-identified user terminal in a preset time period; updating the original confidence coefficient and the original support degree corresponding to the effective position in the initial Bayesian network model according to the movement track of the to-be-identified user terminal in the preset time period, and generating a target Bayesian network model; and outputting a first prediction result according to the target Bayesian network model. The user position prediction method and device are used for user position prediction.

Description

technical field [0001] The present application relates to the field of communications, and in particular to a user position prediction method and device. Background technique [0002] At present, in order to provide personalized services to users, the existing technology first collects the user's activity track, and then predicts the user's behavior according to the activity track, and then provides services to the user according to the prediction result. [0003] However, the user behavior prediction method adopted in the above-mentioned prior art generally has the problems of low accuracy and large amount of computation. Contents of the invention [0004] The embodiments of the present application provide a user location prediction method and device, which can complete the problem of user location prediction based on the stay time and target probability of the user terminal's activity location, improve the accuracy of user location prediction, and improve user experience...

Claims

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Application Information

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IPC IPC(8): H04W4/029H04W16/22H04W64/00
CPCH04W4/029H04W16/22H04W64/00
Inventor 樊学宝
Owner CHINA UNITED NETWORK COMM GRP CO LTD
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