User behavior similarity computing method and device

A computing device and computing method technology, applied in the computer field, can solve the problem of low utilization rate of behavioral characteristics, and achieve the effect of improving utilization rate

Active Publication Date: 2016-01-20
恩亿科(北京)数据科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, there is a lack of methods in the prior art to analyze the similarity of different user behaviors by using the behavioral cha...

Method used

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  • User behavior similarity computing method and device
  • User behavior similarity computing method and device
  • User behavior similarity computing method and device

Examples

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Embodiment Construction

[0020] figure 1 It is a flowchart of a method for calculating user behavior similarity provided by an embodiment of the present invention. The embodiment of the present invention aims at the lack of a method for analyzing the similarity of different user behaviors by using the behavior characteristics of a large number of users in the prior art, resulting in a low utilization rate of the collected behavior characteristics of a large number of users, and provides a user behavior similarity calculation method , the specific steps of the method are as follows:

[0021] Step S101, collect the behavior feature value corresponding to each of the multiple behavior features of the first type of users, and the behavior feature value corresponding to each of the multiple behavior features of the second type of users;

[0022] The embodiment of the present invention collects the behavior characteristics of the user in the process of browsing and clicking webpage information according to...

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Abstract

Embodiments of the invention provide a user behavior similarity computing method and device. The method comprises the steps of collecting a behavior characteristic value corresponding to each of a plurality of behavior characteristics of first class of users and second class of users; screening the plurality of behavior characteristics to obtain a target behavior characteristic set; building a first generalized linear model according to the target behavior characteristic set, computing a first maximum likelihood estimated value of the first generalized linear model by use of an optimization method, and obtaining an estimated parameter corresponding to the first maximum likelihood estimated value; and computing the behavior similarity of a to-be-tested user and the first class of users by use of the estimated parameter and the behavior characteristic value corresponding to each behavior characteristic in a target behavior characteristic set corresponding to the to-be-tested user. According to the method, the similarity of behaviors of different users is analyzed by full use of behavior characteristics of a lot of users, so that the use ratio of collected behavior characteristics of a lot of users is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular, to a method and device for calculating user behavior similarity. Background technique [0002] With the development of computer technology, users connect to the Internet and browse network information through personal PCs or mobile terminals. [0003] When users browse network information, they usually click on the information they are interested in. For example, when users browse webpages through personal PCs, the webpage includes many pieces of information. During the browsing process, users first see the title of each piece of information. If you are interested, you will click on the title to browse the content corresponding to the title in detail. Existing technologies can collect a large number of user behavior characteristics, such as web browsing operations, web page clicking operations, web page information browsed or clicked, content inform...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/958
Inventor 李倚
Owner 恩亿科(北京)数据科技有限公司
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