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Network user classification method and device

A network user and classification method technology, applied in the field of network user classification method and its device, can solve the problems of time-consuming calculation resources, misleading classification results, etc., and achieve more accurate user classification results and faster user classification results.

Inactive Publication Date: 2012-06-27
亿赞普(北京)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] 1. There are tens of billions of web pages on the Internet, so it will consume a lot of time and massive computing resources to extract and classify the text of each web page visited by users
[0008] 2. Many web pages involve multiple categories, resulting in very misleading classification results
[0009] 3. The user's behavior on the Internet includes various behaviors such as searching, network access (browsing the web), clicking on advertisements, etc., but the existing technology only digs out the behavior of network access, and the user's network access behavior has a large Arbitrary

Method used

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  • Network user classification method and device

Examples

Experimental program
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no. 1 example

[0045] figure 1 is a schematic flow chart of the method for classifying network users according to the first embodiment of the present invention, refer to the following figure 1 Each step of the method is described in detail.

[0046] Step 110, predetermine a plurality (corresponding to the second set number) of web page categories.

[0047]The second set number of webpage categories may be predetermined based on the first set number of webpages. Among them, each web page category is composed of multiple themes. For example, the web page category is a social networking site, which can be expressed as "social networking site: campus, activities, travel", where "campus", "events", and "tourism" are the web page categories to which it belongs Various topics for social networking sites. First, classify the first set number of webpages by subject, and then determine the webpage category to which the first set number of webpages belong according to the webpage category associated...

no. 2 example

[0079] image 3 is a schematic flow chart of the method for classifying network users according to the first embodiment of the present invention, refer to the following image 3 Each step of the method is described in detail.

[0080] Step 110 , step 120 , and step 130 are basically the same as those in the first embodiment. For convenience of description, the same steps as those in the previous embodiment will not be described in detail, but only the differences from the previous embodiment will be highlighted. exist image 3 In the same or similar steps as those in the foregoing embodiments, the same reference numerals are used.

[0081] In this embodiment, step 140 specifically includes steps 141 and 142 .

[0082] Step 141 , determining one or more topics associated with the webpage categories of the set number (corresponding to the first set number) of webpages in the aforementioned step 110 to construct a theme-category transformation matrix.

[0083] Specifically, b...

no. 3 example

[0099] Figure 4 A schematic structural diagram of an apparatus for classifying network users according to a third embodiment of the present invention is shown. Refer below Figure 4 To illustrate the composition of each part of this embodiment.

[0100] Please refer to Figure 4 , the web page classification module (31), feature vector generation module (32), and clustering module (33) of the present embodiment execute the operations of step 110, step 120, and step 130 of the first embodiment respectively, and the classification module (35) executes The operation of step 140 of the first embodiment. No more detailed description here.

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Abstract

The invention discloses a network user classification method and device. The network user classification method comprises the following steps of: generating behavior characteristic vectors of users based on the network behaviors of the users; clustering based on the behavior characteristic vectors of the users so as to construct a user-topic matrix; determining the webpage category to which each user belongs on a basis of the user-topic matrix, wherein the network behaviors of the users comprise network access behaviors and search behaviors, and each element value of the user-topic matrix respectively represents the correlation degree between each user and each topic. According to the method and device disclosed by the invention, on a basis of various types of data of the user search behaviors and access behaviors, overall user behaviors are covered within a smaller calculation cost by the adoption of a user-topic model, so that the user information is sufficient to use, and a more accurate user classification result is faster to obtain.

Description

technical field [0001] The invention relates to information network directional advertisement technology, in particular to a method and device for classifying network users. Background technique [0002] With the continuous progress and rapid expansion of Internet technology, the Internet has brought great convenience to people's life and work, and has also created more demands. Among them, information network targeted advertising technology is also particularly important. [0003] Targeted advertising is also called smart advertising, which means sending specific online advertisements to specific groups of people. Targeted advertisements can display different targeted advertisements according to the visitor's industry, geographical area, job title, etc., and can accurately locate the audience of the advertisement and improve the effect of the advertisement. Dividing users into different categories based on their behavior on the Internet (for example, searching, browsing t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
Inventor 罗峰黄苏支李娜
Owner 亿赞普(北京)科技有限公司
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