Method and system for improving commodity recommendation diversity

A product recommendation and diversity technology, which is applied in business, other database retrieval, instruments, etc., can solve the problem of lack of diversity in recommended products, and achieve the effect of rich recommendation categories, large number of recommendations, and low computational complexity

Pending Publication Date: 2020-03-24
SUNING CLOUD COMPUTING CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The present invention provides a method and system for improving the diversity of commodity recommendations, which solves the problem of lack of diversity in recommended commodities

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  • Method and system for improving commodity recommendation diversity
  • Method and system for improving commodity recommendation diversity
  • Method and system for improving commodity recommendation diversity

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Embodiment Construction

[0049] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are some, not all, embodiments of the present invention. Based on the embodiments of the present invention, the embodiments obtained by persons of ordinary skill in the art without making creative efforts shall all belong to the protection scope of the present invention.

[0050] like figure 1 As shown, the embodiment of the present invention provides a method for improving product recommendation diversity, including:

[0051] S110 obtains similar users by using the Canopy algorithm and the K-means algorithm according to the user data.

[0052] The user data includes: user demographic attribute data and user behavior data on multiple screens. The user demographic attribute data inclu...

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Abstract

The embodiment of the invention discloses a method for improving commodity recommendation diversity, and solves the problem that recommended commodities are lack of diversity. The method comprise: obtaining similar users by utilizing a Canopy algorithm and a K-means algorithm according to user data; according to the total order data, constructing a knowledge graph, and obtaining an SPU associatedwith the real-time interest of the user; and obtaining a commodity recommendation list according to the similar users and the SPUs associated with the real-time interests of the users.

Description

technical field [0001] The invention belongs to the field of product recommendation, and in particular relates to a method and system for improving the diversity of product recommendation. Background technique [0002] Commodity recommendation algorithms in this field mainly include the following types: content-based recommendation, data mining-based recommendation, combination recommendation and memory-based collaborative filtering algorithm. [0003] Content-based recommendation technology, after generating the user feature model, recommends according to the user model. The recommendation result is intuitive and easy to understand, and it can recommend special users without domain knowledge. However, the scope of this method is narrow. [0004] The recommendation technology based on data mining mainly recommends by generating association rules. It is not limited by the recommended content and does not require domain knowledge. However, the generation of association rules i...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06F16/906G06F16/9536
CPCG06Q30/0631G06Q30/0633G06F16/906G06F16/9536
Inventor 马荣叶
Owner SUNING CLOUD COMPUTING CO LTD
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