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Commodity recommendation method and device, electronic equipment and storage medium

A product recommendation and preset model technology, applied in the field of data processing, can solve problems such as reducing the accuracy of product recommendation, and achieve the effect of improving accuracy

Pending Publication Date: 2022-07-05
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing product recommendation system based on user social relationship only models the user's social relationship as a way to influence the user's shopping decision, ignoring a large number of potential factors behind the social information, which can easily affect social preferences and shopping preferences. The factors are coupled with each other, which reduces the accuracy of product recommendation

Method used

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  • Commodity recommendation method and device, electronic equipment and storage medium
  • Commodity recommendation method and device, electronic equipment and storage medium
  • Commodity recommendation method and device, electronic equipment and storage medium

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Embodiment Construction

[0063] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

[0064] The user's shopping behavior and social behavior are usually the embodiment of the user's interests and hobbies, so there is a relationship between the user's shopping behavior and social behavior, and the two will affect each other. For example, if the user likes to buy electronic equipment, then the user They tend to follow bloggers in the fields of technology or electronics, or if the user likes beauty makeup, the user will also follow some bloggers...

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Abstract

The invention provides a commodity recommendation method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing. The method comprises the following steps: acquiring a historical shopping behavior and a social behavior of a current user; representing the historical shopping behavior and the social behavior of the current user with vectors; inputting the vector representation of the historical shopping behavior of the current user and the vector representation of the social behavior into a pre-trained commodity recommendation model, and determining a target commodity recommended to the current user through the pre-trained commodity recommendation model; wherein the pre-trained commodity recommendation model is based on a shopping behavior sample set and a social behavior sample set of a plurality of historical users, and the shopping behavior sample set and the social behavior sample set are respectively subjected to dissociation characterization; training according to the influence relationship between the dissociation characterization result of the shopping behavior sample set and the dissociation characterization result of the social behavior sample set. The invention aims to improve the accuracy of commodity recommendation.

Description

technical field [0001] The embodiments of the present application relate to the technical field of data processing, and in particular, to a product recommendation method, apparatus, electronic device, and storage medium. Background technique [0002] Now, in order to improve the user's shopping experience, the product recommendation system develops rapidly, and the product recommendation system considers the user's social relationship as an important factor affecting shopping choices. [0003] However, the existing product recommendation system based on the user's social relationship only models the user's social relationship as an influence on the user's shopping decision, ignoring a large number of potential factors behind the social information, which is easy to influence the social preference and shopping preference. The factors are coupled with each other, which reduces the accuracy of product recommendation. SUMMARY OF THE INVENTION [0004] Embodiments of the prese...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/9536G06Q50/00
CPCG06F16/9535G06F16/9536G06Q50/01
Inventor 王鑫朱文武周煜威
Owner TSINGHUA UNIV