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Commodity recommendation method based on triangle area calculation mode

A product recommendation, triangle technology, applied in computing, commerce, instruments, etc., can solve problems such as lack of diversity, and achieve the effect of enhancing mutual connection, improving recommendation efficiency and accuracy, and making recommendations more flexible

Active Publication Date: 2017-11-21
CHENGDU UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of lack of diversity in the existing product recommendation methods, and propose a product recommendation method based on the triangle area calculation model to provide more accurate and diverse product recommendation results for target users

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  • Commodity recommendation method based on triangle area calculation mode
  • Commodity recommendation method based on triangle area calculation mode
  • Commodity recommendation method based on triangle area calculation mode

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Embodiment Construction

[0038] Exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be understood that the implementations shown and described in the drawings are only exemplary, intended to explain the principle and spirit of the present invention, rather than limit the scope of the present invention.

[0039] The embodiment of the present invention provides a product recommendation method based on the triangle area calculation mode, such as figure 2 As shown, including the following steps S1-S8:

[0040] S1. Three elements of a user (User), a product (Object) and a category (Category) are formed into a triplet.

[0041] S2. Construct three bipartite graphs according to the relationship between two factors in the triplet.

[0042] Such as image 3 As shown, in the embodiment of the present invention, a circle is used to represent a user (User), a square is used to represent a product (Object), and a five-pointed sta...

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Abstract

The invention discloses a commodity recommendation method based on a triangle area calculation mode, which is characterized in that a dimension is added to conventional two-dimensional recommendation data, and the relationship among three members is enabled to be described by a triangle through adjusting the mutual weights. Meanwhile, a method for solving the triangle area by using a Heron formula is applied to commodity recommendation, the triangle area based recommendation mainly studies the closeness of the three sides, and a finally acquired recommendation list is a superposition result of the relationships of the three sides, so that more accurate and diversified commodity recommendation results are provided for a target user, the recommendation efficiency and accuracy are improved, the mutual relationship between users and commodities on an e-commerce website is enhanced, and a problem of difficult selection brought to the users by the large amount of information is solved. Meanwhile, the added new dimension is the category of the commodity, and other factors related with the benefit can substitute the category to act as the third dimension in the actual application process, thereby enabling the recommendation of the invention to be more flexible.

Description

technical field [0001] The invention belongs to the technical field of commodity recommendation, and in particular relates to the design of a commodity recommendation method based on a triangle area calculation mode. Background technique [0002] Under the background of "Internet +", e-commerce has been flourishing. At the same time, the state also strongly supports the development of e-commerce, which has solved the employment problem of many people. Initially, there are fewer people involved in e-commerce, so less data can be provided. Although there are few choices for users, the purpose of choice is very clear. Now more and more people are joining e-commerce, making e-commerce vigorously develop, but for users, information overload is the biggest problem. Many people are part of the development of e-commerce, the most obvious manifestation is online shopping. Taking Taobao as an example, when a user enters the required product to search in the process of online shoppi...

Claims

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Application Information

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IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 蔡彪杨小王肖君燃
Owner CHENGDU UNIVERSITY OF TECHNOLOGY