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A method, system and device for identifying intention behavior data

A technology of behavior and data, applied in the field of communication, can solve the problems of low reference of data authenticity and popularity, narrow field of data collection and integration, no user intention recognition mode, etc., to achieve a better and clearer effect

Active Publication Date: 2021-03-09
BEIJING HONGMA MEDIA CULTURE DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Due to the different fields of enterprises, the division of roles in requirements and implementation is different. For example, product types include B2C products, B2B products, B2B2C products, O2O products, etc.; product users have different requirements for each type of platform or platform The functions, usage habits, and behaviors of the products in the platform all have strong demands, such as the color style, layout style, etc. What is the intention, etc., are of great significance to the birth or improvement of products, but the existing data analysis only analyzes the data in the specific field or the enterprise's own database, the field of data collection and integration is too narrow, there is no A set of universal user intent recognition patterns that can be classified and stored in multiple fields and categories, with low references to data authenticity and popularity

Method used

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  • A method, system and device for identifying intention behavior data
  • A method, system and device for identifying intention behavior data
  • A method, system and device for identifying intention behavior data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] refer to figure 1 , figure 1 A flow chart of a method for identifying intentional behavior data provided by the present invention is shown. Including: step S110 to step S140.

[0053] In step S110, behavior data is collected to form a basic behavior information base.

[0054] Among them, collecting behavioral data includes: collecting behavioral data through buried point technology.

[0055] Specifically, it includes: deploying data embedding points in at least one link of behavioral data that needs to be collected; defining the collected behavioral data with the same ID.

[0056] For example, the data deployment code burying point is carried out in each behavioral link of the product that needs to be captured through the burying technology, and at the same time, a series of behaviors of the same user are marked based on the unique ID of the same user, and the generated data is defined (such as: The behavior data collected when the login button is clicked is defined...

Embodiment 2

[0095] refer to figure 2 , figure 2 It shows a structural diagram of an embodiment of an intention behavior data recognition system 200 provided by the present invention, including:

[0096] The collection module 21 is used to collect behavior data to form a basic behavior information base.

[0097] The extraction module 22 is used to extract the channel sources of the data in the behavioral basic information base; perform cluster statistics on the data of different channel sources, sort and store according to the number of visits of each channel source.

[0098] The extraction module 23 is used to classify and store the data in the behavioral basic information base after extracting data sets according to categories; count the degree of coincidence between the same category of behavior data and different categories of behavior data, and combine the coincidence degree data in chronological order. The combined data that exhibits the same behavior in a continuous period of ti...

Embodiment 3

[0135] refer to Figure 6 , Figure 6 It shows an intention behavior data recognition device 300 provided by the present invention, including the system 200 described in any one of the second embodiment.

[0136]Embodiment 3 of the present invention collects behavioral data to form a behavioral basic information database; extracts the channel sources of data in the behavioral basic information database; and performs cluster statistics on data from different channel sources, and sorts them according to the number of visits from each channel source Storage; the data in the behavioral basic information database is extracted by category and then classified and stored; the coincidence degree between the same category of behavior data and different categories of behavior data is calculated, and the coincidence degree data is combined in chronological order, and the combined data The data that has the same behavior in a continuous period of time is stored as a behavior path; the tec...

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Abstract

The present invention provides a method, system and equipment for identifying intentional behavior data. The method includes: collecting behavior data to form a behavioral basic information database; extracting channel sources of data in the behavioral basic information database; Clustering statistics, sorting and storing according to the number of visits from each channel source; extracting data sets from the data in the behavioral basic information base by category and storing them in categories; counting the overlap between the same category of behavior data and different categories of behavior data, Combine the coincidence data in chronological order, and store the combined data showing the same behavior in a continuous period of time as a behavior path; associate the behavior path with the stored channel source, and identify the intention behavior data of each type of behavior data . The invention can effectively provide a basis for product optimization, well solve the problem of effect tracking statistics in the process of channel promotion optimization, and make the purpose of each promotion plan more clear.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method, system and device for identifying intentional behavior data. Background technique [0002] The company's own products will have different needs in different stages of development of Internet, mobile Internet and other network technologies from the embryonic stage, the growth stage, and then to the mature stage. In the process of improvement, iteratively optimize its own products to meet the needs of most users. The user's demand is the main factor for product upgrading. There are several types of content and crowd platforms in the Internet and mobile Internet, including search engines, forums, SNS communities, network communication software, blogs, encyclopedias, and microblogs. wait. There are different popular platforms in each category, such as: Baidu, Baidu Tieba, Maopu, Renren, QQ Group, Sina Blog, Baidu Encyclopedia, Sina Weibo, etc.; each platfor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02
CPCG06Q10/0637G06Q30/0201
Inventor 曹杰冯雨晖宿晓坤杨睿王志伟
Owner BEIJING HONGMA MEDIA CULTURE DEV
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