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A Product Recommendation Method Based on the Difference Correlation Between Pairwise Items

A product recommendation and correlation technology, applied in business, equipment, network data retrieval, etc., can solve problems such as difficult selection for users and information overload, and achieve the effect of solving difficult selection

Active Publication Date: 2021-11-16
CHENGDU UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a product recommendation method based on the difference correlation between two items, which solves the problem of difficult selection for users due to information overload in e-commerce

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  • A Product Recommendation Method Based on the Difference Correlation Between Pairwise Items
  • A Product Recommendation Method Based on the Difference Correlation Between Pairwise Items
  • A Product Recommendation Method Based on the Difference Correlation Between Pairwise Items

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Embodiment Construction

[0033] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0034] Such as figure 1 As shown, the product recommendation method based on the difference correlation between two items includes the following steps:

[0035] S1. Obtain the number of times each user purchases each item, and obtain the initial behavior vector of each user;

[0036] S2. According to the number of times each user purchases each item, the correlation value of the pairwise difference between any item and eac...

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Abstract

The invention discloses a product recommendation method based on the difference correlation between two items, which includes the following steps: S1, acquiring the number of times each user purchases each item and each user's initial behavior vector; S2, acquiring any item The difference correlation value with each item; S3, obtain the difference correlation matrix based on the item; S4, get the recommended value of the item according to the initial behavior vector and the difference correlation matrix; S5, for any user, remove the user The purchased items and their corresponding recommendation values ​​are sorted according to the size of the recommendation values ​​given by the user to obtain a product recommendation list for the user. The invention fully considers the randomness of the user's purchase behavior, and makes the recommended commodities more meet the needs of each user according to the user's historical behavior, effectively solving the problem of difficult selection for users caused by information overload in e-commerce.

Description

technical field [0001] The present invention relates to the field of product recommendation, in particular to a product recommendation method based on the difference correlation between two items. Background technique [0002] With the development of e-commerce, more and more people are joining e-commerce, which makes e-commerce vigorously develop, but for users, information overload is the biggest problem. Take Taobao as an example: when a user enters the required product to search during the online shopping process, there will be a large number of the same product for the user to choose from. Worrying about quality; both worrying about quality and feeling expensive, etc., make it difficult for users to choose when choosing items. This is the problem caused by information overload. Therefore, how to find the products that users need among a large number of products is an urgent need for e-commerce. question. Contents of the invention [0003] Aiming at the above-mention...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06G06Q30/02G06F16/958
CPCG06Q30/0201G06Q30/0202G06Q30/0631
Inventor 张澎黄玉盛秦阳欣蔡彪
Owner CHENGDU UNIVERSITY OF TECHNOLOGY