User behavior prediction method and device and electronic equipment

A prediction method and behavior technology, applied in the computer field, can solve problems such as difficulty in discovering new user behaviors, inaccurate predictions, and inability to truly reflect business value, and achieve the effect of refining behavior granularity and improving accuracy.

Active Publication Date: 2018-07-20
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, different business scenarios focus on different user behaviors. Prediction based on this coarse-grained user behavior cannot truly reflect specific business value, and it is difficult to achieve accurate prediction results
On the other hand, due to the limited individual behavior data and insufficient coverage of training samples, in the prior art, when the prediction model is trained based on the operation log to predict user behavior, the prediction will also be inaccurate.
Moreover, when forecasting is based on the user's existing preferences, there are limitations in the prediction of user behavior in O2O scenarios, and it is difficult to discover new behaviors of users in the prediction.
[0003] It can be seen that the user behavior prediction method in the prior art has at least the defect of inaccurate prediction results

Method used

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  • User behavior prediction method and device and electronic equipment
  • User behavior prediction method and device and electronic equipment
  • User behavior prediction method and device and electronic equipment

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Experimental program
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Effect test

Embodiment 1

[0026] A user behavior prediction method disclosed in this embodiment, such as figure 1 As shown, the method includes: Step 110 to Step 130.

[0027] Step 110, constructing a behavior transition probability matrix of the target user at time t according to the behavior data of the target user before time t.

[0028] Wherein, the time t is the time when the target user behavior occurs. During specific implementation, the behavior data of the target user is obtained in real time, and when the target user has a preset behavior, the time t at which the preset behavior occurs is recorded, and the behavior data of the target user before time t is further obtained. Then, a behavior transition probability matrix of the target user at time t is constructed based on the acquired behavior data of the target user. Wherein, the preset behaviors include: browsing, sharing, bookmarking, placing an order, checking in, writing comments and other user behaviors.

[0029] For example, user U p...

Embodiment 2

[0040] Such as figure 2 As shown, the user behavior prediction method disclosed in another embodiment of the present application includes: step 210 to step 260 .

[0041] Step 210, constructing a behavior transition probability matrix of the target user at time t according to the behavior data of the target user before time t.

[0042] During specific implementation, the time t is the time when any behavior of the target user occurs. For example, when the behavior data of the target user is acquired in real time, if it is acquired that the target user has made a purchase, then the time when the target user has purchased the behavior is taken as "time t", and then the time of the target user before time t is obtained. behavioral data. During specific implementation, in order to improve computing efficiency and reduce computing load, all behavioral data within a preset time period (such as three months) before the time t is acquired for prediction and model training. All the...

Embodiment 3

[0084] A user behavior prediction device disclosed in this embodiment, such as image 3 As shown, the device includes:

[0085] The target user behavior transition probability matrix construction module 310 is used to construct the behavior transition probability matrix of the target user at time t according to the behavior data of the target user before time t;

[0086] The model training module 320 is used to iteratively train the behavior prediction model of the target user based on the behavior transition probability matrix at time t and the preset behavior influencing factors;

[0087] The behavior prediction module 330 is configured to use the behavior prediction model to predict the behavior of the target user based on the behavior transition probability matrix at time t, the preset behavior influencing factors, and the behavior prediction result of the target user at the previous moment. next behavior;

[0088] Wherein, the moment t is the moment when the target user...

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Abstract

The invention relates to a user behavior prediction method, which belongs to the field of computer technologies and solves a problem that the prediction result is inaccurate in the prior art. The userbehavior prediction method comprises the steps of constructing a t-moment behavior transfer probability matrix of a target user according to behavior data of a target user before the moment t; iteratively training a behavior prediction model of the target user based on the t-moment behavior transfer probability matrix and preset behavior influence factors; and predicting a next behavior of the target user based on the t-moment behavior transfer probability matrix, the preset behavior influence factors and a behavior prediction result of the target user at the previous moment according to thebehavior prediction model. According to the user behavior prediction method disclosed by the embodiment of the invention, behavior prediction is performed through combining related factors of user behaviors and a behavior transformation relation of the user, the behavior granularity of the user is refined, the user behaviors are comprehensively considered, model training is performed by combiningthe behavior transformation probability, and the prediction accuracy of the model is effectively improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a user behavior prediction method and device, and electronic equipment. Background technique [0002] User behavior prediction is to predict the user's next behavior based on the user's existing behavior. User behavior prediction is widely used in many fields such as online advertisement placement and recommendation system. Taking catering and gourmet food as an example in the O2O scenario, by predicting the user's next behavior, it is possible to push accurate coupons or merchant promotions for the user. Existing user behavior prediction methods generally collect and report user operation logs, clean and filter data based on user operation logs, and then record user behavior sequences according to coarse-grained divisions such as clicks, browses, and exposures. predict. However, different business scenarios focus on different user behaviors. Prediction based on th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0202
Inventor 朱凯周高磊魏旭杰范殊文李世斌
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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