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Data mining method for multi-index evaluation information

A technology for evaluating information and data mining, which is applied in digital data processing, special data processing applications, instruments, etc., and can solve problems such as high algorithm complexity and unsatisfactory recommendation accuracy

Inactive Publication Date: 2013-10-30
INST OF ACOUSTICS CHINESE ACAD OF SCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the defects of existing data mining methods, such as high algorithm complexity, recommendation accuracy that cannot meet the needs of commercial applications, etc., thereby providing a data mining method with low complexity and high precision

Method used

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  • Data mining method for multi-index evaluation information
  • Data mining method for multi-index evaluation information

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Embodiment Construction

[0053] For ease of understanding, in the following embodiments, the data mining method of the present invention will be described in conjunction with specific examples, but those of ordinary skill in the art should understand that the application of the data mining method of the present invention is not limited to the description in the embodiments The example of , can also be applied in other embodiments.

[0054] When users evaluate an item or service, they can usually consider it from multiple angles. For example, when evaluating a hotel, they can evaluate it from multiple aspects such as the hotel's location, price, service, sanitary condition, surrounding environment, and the deliciousness of the meal. . These existing evaluation information can provide reference for other users. However, different users may have different priorities when choosing items or services. For example, some users mainly consider the location when choosing a hotel, and do not care much about the...

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Abstract

The invention discloses a data mining method for multi-index evaluation information. The method includes: reading existing interactive data including explicit rating data which include data rated by a user on already rated other objects or services similar to to-be-rated objects or services and data rated by other users on the to to-be-rated objects or services; and according to the existing interactive data, adopting a trained association model to calculate a rated value of the user on a certain object or service in a certain index. The method can support predication of multi-index rating, has high predication accuracy and classification accuracy, and is high in convergence rate, short in operation time and suitable for on-line real-time recommendation.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a data mining method for multi-index evaluation information. Background technique [0002] With the development of information technology and the Internet, people have gradually entered the era of information overload from the age of information scarcity. Personalized recommendation technology in the field of data mining is an important technology used to help users discover content and overcome information overload. [0003] Personalized recommendation is an important branch of data mining, and it is also a hot research direction at present. The existing personalized recommendation technology mainly solves the recommendation problem in a single scoring scenario, based on the known evaluation information of the user's overall impression of certain items (such as Netflix movies and Amazon books), predicting the user's preference for other items , and recommend suitable items to users....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 王劲林吕红亮邓峰
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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