User behavior prediction method and device

A behavior and user technology, applied in the information field, can solve problems such as user behavior prediction errors and low user behavior prediction accuracy

Active Publication Date: 2018-06-05
BEIJING QIHOO TECH CO LTD
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  • Description
  • Claims
  • Application Information

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However, different user behaviors may match the same user behavior index. Predicting user behavior through th

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  • User behavior prediction method and device
  • User behavior prediction method and device
  • User behavior prediction method and device

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Embodiment Construction

[0029] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0030] As described in the background art, currently, user behaviors are usually predicted directly based on user behavior indicators analyzed by user behavior logs, that is, user behaviors matching user behavior indicators are directly determined as user predicted behaviors. However, different user behaviors may match the same user behavior index. Predicting user behavior through the above-mentioned method w...

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Abstract

The invention discloses a user behavior prediction method and device, relates to the technical field of information and is mainly intended to predict user behaviors more accurately. The method comprises: analyzing a user behavior log of a target user to obtain a user attribute vector and a user behavior index vector; inputting the user attribute vector and the user behavior index vector to a pre-trained behavior prediction decision tree model to obtain predicted behavior probability of the target user, wherein the behavior prediction decision tree model is acquired by using a preset decision tree algorithm to train a sample user attribute vector, a sample user behavior index vector and a sample user; determining predicted behaviors of the target user according to the predicted behavior probability. The user behavior prediction method and device are applicable to prediction of user behaviors.

Description

Technical field [0001] The present invention relates to the field of information technology, in particular to a method and device for predicting user behavior. Background technique [0002] With the rapid development of the mobile Internet, people's daily life and work are increasingly dependent on the Internet. How to use the ever-increasing mobile user big data to predict user behaviors has become a technical problem that needs to be solved urgently in the field of mobile personalized services, such as mobile e-commerce, mobile location services, and mobile advertising click-through rate prediction. [0003] Currently, user behaviors are usually predicted directly based on user behavior indicators analyzed by user behavior logs, that is, user behaviors that match user behavior indicators are directly determined as user predicted behaviors. However, different user behaviors may match the same user behavior index. Predicting user behavior through the above-mentioned method will ca...

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Application Information

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IPC IPC(8): G06F17/30G06K9/62G06Q30/02G06Q30/06
CPCG06F16/1815G06F16/2465G06Q30/0242G06Q30/0631G06F18/24323
Inventor 闫绍华杨亚会孙亚平杨君李振博
Owner BEIJING QIHOO TECH CO LTD
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