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Agricultural information accurate propelling method based on data mining (DM)

A precise push, agricultural technology, applied in the field of information processing, can solve the problem that the service system cannot accurately push the access content, etc., to achieve the effect of convenience and information content, increase the efficiency of information acquisition, and increase the amount of useful information

Inactive Publication Date: 2012-10-24
INST OF AGRI SCIENTECH INFORMATION BNX +1
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem in the prior art that the service system cannot accurately push access content when new users or less active users query information, the present invention provides a high-precision information push method that comprehensively considers user behavior and content keywords

Method used

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  • Agricultural information accurate propelling method based on data mining (DM)
  • Agricultural information accurate propelling method based on data mining (DM)

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0048] like figure 2 As shown, the following takes the recommendation between the web pages of the website as an example to elaborate on the working process of the present invention:

[0049] 1. The user clicks to enter the content page A of a certain website, and starts to browse the content of page A;

[0050] 2. The website transmits the click behavior to the accurate recommendation plug-in (that is, the plug-in composed of the present invention) in the form of a message, and the parameters passed at the same time also include the url of the page;

[0051] 3. The precise recommendation plug-in starts to analyze page 10 by accessing log data and calling word segmentation components:

[0052] ① First, judge whether the type of page A is commonly used 20: If the number of clicks of A is less than 5, then consider A a rare page or a new page, and the page type is 0; otherwise, the page type is 1;

[0053] ② Obtain the keyword sequence of page A through the word segmentation ...

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Abstract

The invention discloses an agricultural information accurate propelling method based on data mining (DM). The method comprises step 1, analyzing rules of a user to access pages, wherein the analyzed rules comprise step 101, analyzing correlation behaviors of the user and generating a behavior sequence table and step 102, analyzing browses page contents of the user and generating a content sequence table; and step 2, matching different weights to the behavior sequence table and the content sequence table, then combining to generate a recommending sequence table, and providing other pages same with or similar to user-visited pages according to the recommending sequence table. The method collects access records of access sites and conducts pretreatment through accurate comprehension of intentions of visiting users and optimization and generation of related information to find out access rules and user sets, builds a user access pattern of the access sites and finally achieves a new agricultural information accurate propelling mode according to the user access pattern and combining with two aspects of browse behavior relevance and content relevance.

Description

technical field [0001] The present invention relates to the field of information processing, in particular to a method for using database mining technology (DateMining, DM) to improve accurate information pushing when accessing a dynamic database. Background technique [0002] The rapid development of agricultural informatization and the individuation of the needs of the majority of users have intensified the contradiction between the huge and disorderly massive information database and the needs of users. By 2015, informatization will be widely applied in the whole field of agriculture, and a comprehensive information service system with intelligent service push and rich and diverse channels will be established to realize real-time and accurate agricultural information services. [0003] At present, the information recommended by major websites for users is basically recommended from the perspective of resource content association, without considering the association betwee...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 栾汝朋于峰孙素芬张峻峰刘新张倩孙利鑫李刚郭亮
Owner INST OF AGRI SCIENTECH INFORMATION BNX
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