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Multiattribute grading system oriented grading prediction method

A score prediction and multi-attribute technology, which is applied in complex mathematical operations, business, instruments, etc., can solve the problems of not taking into account the relationship between attribute scores, not effectively solving the sparsity problem, etc., and achieve the effect of simple and uncomplicated algorithms

Inactive Publication Date: 2017-05-31
BEIJING INSTITUTE OF TECHNOLOGYGY
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AI Technical Summary

Problems solved by technology

Many existing multi-attribute scoring prediction algorithms do not take into account the correlation of each attribute score in the multi-attribute scoring system, nor do they effectively solve the sparsity problem

Method used

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  • Multiattribute grading system oriented grading prediction method
  • Multiattribute grading system oriented grading prediction method
  • Multiattribute grading system oriented grading prediction method

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Embodiment Construction

[0037] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0038] A scoring prediction method for multi-attribute scoring system, its brief process please refer to figure 1 As shown, the method includes the following steps S1, S2, S3, S4 and S5, wherein S4 also includes steps S41 and S42. The detailed process of each step is as follows:

[0039] S1: Input data: Multi-attribute scoring is the user's rating of each attribute...

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Abstract

The invention provides a multiattribute grading system oriented grading prediction method, comprising the following steps: S1: inputting data: collecting grading of a user for a plurality of attributes of a commodity, inputting grading data of the attributes; S2: constructing a model: using a three-dimensional tensor with U, C and A three dimensions (as shown in the specification) for expressing multiattribute grading information; S3: setting parameters and obtaining an initialized matrix (as shown in the specification); S4: resolving the tensor, calculating to obtain an intermediary matrix (as shown in the specification); and S5: filling the tensor and completing grading prediction. By using the method provided by the invention, the grading information of a plurality of attributes can be effectively integrated for predicting the grading of the user for each attribute of the commodity.

Description

technical field [0001] The invention relates to the field of computer applications, in particular to a multi-attribute scoring prediction method based on tensor decomposition for a multi-attribute scoring system. Background technique [0002] In recent years, with the rapid development of the Internet, recommendation systems have been widely used in e-commerce online platforms, especially the development of personalized recommendation technology has played an important role in improving user experience and service quality. Personalized recommendation is mainly based on the user's interest characteristics and purchase behavior, recommending information and products that the user is interested in to the user. [0003] Personalized recommendation is mainly completed on the computer through the recommendation system. The recommendation system is based on massive data mining. The traditional recommendation mainly relies on the user's overall rating of the item, but now more and m...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16G06Q30/02
CPCG06F17/16G06Q30/0202
Inventor 袁汉宁杨静婷王少鹏王树良
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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