Method and device for selecting correlative discussion zone in network community

A network community and discussion area technology, applied in branch offices to provide special service devices, data exchange details, special data processing applications, etc., can solve the problems of not reflecting the strength of association, misleading user browsing behavior, weak association, etc.

Active Publication Date: 2007-03-28
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The defect of the above technical solution is that the discussion board system simply lists the names of other discussion boards that are also logged in by the person who logs into a certain discussion board, which does not reflect the behavior of logging into this discussion board and the behavior of logging into other discussion boards. For example, 99 out of 100 people who logged into discussion board A also logged into discussion board B, but only 1 of the 100 people who logged int...

Method used

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  • Method and device for selecting correlative discussion zone in network community
  • Method and device for selecting correlative discussion zone in network community
  • Method and device for selecting correlative discussion zone in network community

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Experimental program
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Embodiment Construction

[0035] The selection of relevant discussion areas can be achieved through the following steps:

[0036] Step 1. Collect the logs of all computers that log into the discussion area, and merge all logs into a total log;

[0037] Step 2, extract information from the general log according to a preset format, and generate a transaction set;

[0038] Step 3. Select the frequent itemsets of the discussion area from the transaction set through the frequent itemsets mining algorithm;

[0039] Step 4. Extract relevant discussion forums of each discussion forum from the frequent item set of discussion forums, and generate a list of related discussion forums.

[0040] In the above step 2, since the total log contains many types of information, such as the user's access date, user's access time, user name, etc., it should be based on the format of the user log and the data required for selecting the frequent itemsets in the discussion area. The general log extract contains certain kinds ...

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PUM

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Abstract

This method includes that: collects all computer logs logging into the discuss section (DS), combines them into a chief log, draws info from the chief log, generates the business set, via frequent item set (FIS) mining algorithm, selects FIS of DS, draws the related DS of each DS from FIS of DS, generates related DS list, then finishes. This invention utilizes the data mining method to find out the related DS of this DS. The related DS presents the behavior of the DS user. This will be convenient for the user's next accessing and will reduce lookup cost. A selection device of related DS in the network community is disclosed as well.

Description

technical field [0001] The invention relates to a method and a device for selecting a discussion area in a network community, in particular to a method and a device for selecting a related discussion area, and belongs to the field of computers. Background technique [0002] With the rapid development of the network, more and more people choose to search for information or find suitable people with similar interests or similar needs to communicate through the Internet. [0003] The traditional community or BBS system is based on manually establishing a content discussion area system and directory index, that is, the system administrator needs to edit a certain number and contents of the directory in the system, and then needs to manually open a forum or discussion area, and establish The association between a forum or discussion board and a table of contents. When browsing and communicating, the user first needs to judge which forum or discussion area under which directory t...

Claims

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Application Information

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IPC IPC(8): H04L12/18G06F17/30
Inventor 郭眈李明远张猛俞军边江李瀚杨用李幸俞建林齐玉杰刘建国李彦宏
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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