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Method and device for reducing sample space in BPR

A sample space and space technology, applied in the field of recommendation systems, can solve the problems of negative sample sampling and inefficient product recommendation

Active Publication Date: 2020-03-03
TSINGHUA UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to overcome the above-mentioned existing BPR model based on the entire negative sample space, which leads to the inefficiency of negative sample sampling and product recommendation, or at least partially solve the above-mentioned problems, the present invention provides a method and device for reducing the sample space in BPR

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  • Method and device for reducing sample space in BPR
  • Method and device for reducing sample space in BPR
  • Method and device for reducing sample space in BPR

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Embodiment Construction

[0025] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0026] In one embodiment of the present invention, a method for reducing sample space in BPR is provided, figure 1 It is a schematic diagram of the overall flow of the sample space reduction method in BPR provided by the embodiment of the present invention, the method includes: S101, for any user in the target shopping system, obtain the corresponding negative sampling ratio coefficient of the user according to the commodities purchased by the user, Use the products in the product collection of the target shopping system except the products purchased by the user as negative sample candidate sets;

[0027] Wherein, the target shopping system is a shopping system that needs...

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Abstract

The invention provides a method and a device for reducing a sample space in a BPR. The method comprises the following steps: for any user in a target shopping system, obtaining a negative sampling proportionality coefficient corresponding to the user according to a commodity purchased by the user, and taking commodities, except the commodity purchased by the user, in a commodity complete set of the target shopping system as a negative sample candidate set; and obtaining a negative sample space corresponding to the user according to the negative sampling proportionality coefficient corresponding to the user and the negative sample candidate set. According to the method, the negative sample space is reduced, commodity recommendation is carried out based on the reduced negative sample space on the basis of guaranteeing the recommendation performance, and the commodity recommendation efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of recommendation systems, and more specifically relates to a method and device for reducing sample space in BPR. Background technique [0002] Personalized sorting refers to providing a product list for users to choose, also known as product recommendation. A typical example is that an e-commerce company wishes to personalize and recommend to a user a sorted list of products that the user may have purchased. In most application scenarios, such a ranking list can only be inferred through the implicit feedback behavior between users and products. For example, purchasing belongs to implicit feedback, while rating products belongs to explicit feedback. The characteristic of the implicit feedback recommendation system is that the positive feedback behavior of the user can only be observed, such as purchasing a product, while the unobserved behavior, that is, a user does not purchase a certain product, is compos...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 金德鹏丁璟韬李勇
Owner TSINGHUA UNIV