R language program based personalized recommendation method

A language and program technology, applied in the field of using information to recommend insurance products based on R language programs, can solve problems such as ambiguity and user demand uncertainty, and achieve the effects of improving efficiency, enhancing loyalty, and increasing click-through rates

Inactive Publication Date: 2016-07-27
FOCUS TECH
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

However, user requirements are

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  • R language program based personalized recommendation method
  • R language program based personalized recommendation method

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Embodiment Construction

[0038] specific implementation plan

[0039] The specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples.

[0040] refer to Figure 1 Shown, the implementation steps of the present invention are as follows:

[0041] S11: R connects to the oracle database, that is, allows R to read data in the Oracle database.

[0042] The relevant data of information and insurance products are stored in the Oracle database. In order for R to read these data, R and Oracle must be able to communicate with each other. Here, you need to install the ODBC driver and add the data source in the Windows Data Source Manager , and download the RODBC package in R, so that R can connect to the database.

[0043] S12: Data preprocessing, that is, further processing of the read raw data

[0044] Because in the given raw data, keywords for each information and insurance product have been given by relevant personnel,...

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Abstract

The invention discloses an R language program based personalized information recommendation method. The method is characterized by comprising the specific steps of 1) connecting an R language program with an Oracle database, namely, enabling the R language program to read data in the Oracle database; and extracting the data in the database, enabling the R language program to communicate with the database, and reading the required data into the R language program; 2) preprocessing the data: unifying keyword separators; and performing word segmentation on given keywords for better extracting characteristics of each piece of information and insurance; 3) calculating characteristic weights; and 4) calculating the similarity between the information and the insurance product; and after calculating the characteristic weights, taking each characteristic as a dimension and taking a normalized weight of the characteristic as a value of the characteristic, so that each piece of the information and the insurance product form a characteristic space graph and the similarity between the information and the insurance product is a closeness degree of two space graphs.

Description

technical field [0001] The present invention relates to the field of personalized recommendation, in particular to a method for recommending insurance products based on R language program using information. Background technique [0002] With the rapid development of e-commerce, the types and quantities of goods provided by merchants have increased dramatically, and users with clear needs can search for the goods they want to buy. However, user requirements usually have uncertainty and ambiguity. If merchants can actively recommend products that meet users' fuzzy needs from a large number of products to users, it is expected to convert potential needs into actual needs. [0003] R is a language and operating environment for statistical analysis and graphing. R is a free, free, open-source software belonging to the GNU system. It is an excellent tool for statistical computing and statistical graphics. There is no application for using information to recommend insurance prod...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/24553G06F16/9535G06Q30/0251G06Q30/0277
Inventor 吴海龙
Owner FOCUS TECH
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