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Information retrieval method based on Bayesian classification algorithm

A Bayesian classification and information retrieval technology, applied in the field of information processing, can solve the problems of literal similarity, trouble, and practical significance, and achieve the effect of improving accuracy

Active Publication Date: 2011-06-01
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +2
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  • Application Information

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Problems solved by technology

Such characteristics often make the system provide some information that is similar in words but far from the actual meaning when the system recommends information, causing users to encounter unexpected troubles when searching for information.

Method used

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  • Information retrieval method based on Bayesian classification algorithm
  • Information retrieval method based on Bayesian classification algorithm
  • Information retrieval method based on Bayesian classification algorithm

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Embodiment Construction

[0022] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0023] figure 1 It is a flowchart of information retrieval method based on Bayesian classification algorithm. figure 1 In , the information retrieval method based on Bayesian classification algorithm includes the following steps:

[0024] Step 1: Select a data table from a relational database and build an information retrieval model. figure 2 It is a schematic diagram of information retrieval model establishment. figure 2 In the above, taking the scientific research results table, personnel information table and department information table selected in the database as an example, according to the relationship between the three tables, the information retrieval model is established. Specifically: first define the p...

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Abstract

The invention discloses an information retrieval method based on a Bayesian classification algorithm in the technical field of information processing, which comprises the steps of: selecting a data sheet from a relationship database, establishing an information retrieval model; deriving a sample set from the information retrieval model, dividing the sample set into a training data set and a testing data set; selecting relevant fields from the information retrieval model to be used as a classification attribute of the sample set, determining the class of the classification attribute and calculating the prior probability of the class of the classification attribute; calculating the posterior probability of samples; calculating the class probability of the samples according to the Bayesian formula; classifying the samples according to the class probability of the samples, and generating a data classification set; and making the information retrieval operation in the data classification set by a user. The invention applies the Bayesian classification algorithm to the actual information retrieval, thereby effectively improving the accuracy of the information retrieval.

Description

technical field [0001] The invention belongs to the technical field of information processing, in particular to an information retrieval method based on a Bayesian classification algorithm. Background technique [0002] Information retrieval is an important part of Internet applications. With the rapid growth of Internet information, the intricate classification system makes it more and more difficult to retrieve valuable information. [0003] Bayesian classification is a basic algorithm in text mining. This method uses probability theory knowledge to quickly and accurately classify text information; and the classified information can be used as the basis for other applications. [0004] The current situation of diversified information types and complicated information relationships leads to the possibility that when users inquire about relevant information according to their needs, they may extend from any information topic to other information topics, thus forming several ...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 刘琳李国栋问梁军李国粹
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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