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Method and device for distinguishing commodity relation

A relationship and commodity technology, applied in the field of distinguishing commodity relations, can solve the problem of data sparsity without considering commodity interdependence and so on

Pending Publication Date: 2020-02-21
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] In view of this, the embodiments of the present invention provide a method and device for distinguishing commodity relationships, so as to solve the technical problems of data sparsity and failure to consider the interdependence between commodities

Method used

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  • Method and device for distinguishing commodity relation
  • Method and device for distinguishing commodity relation
  • Method and device for distinguishing commodity relation

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Embodiment Construction

[0079] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0080] figure 1 is a schematic diagram of the main flow of the method for distinguishing commodity relationships according to an embodiment of the present invention. As an embodiment of the present invention, such as figure 1 As shown, the method for distinguishing commodity relations may include:

[0081] Step 101, based on the target loss function, filter out a set of...

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Abstract

The invention discloses a method and a device for distinguishing commodity relations, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of screening a set with directed edges based on a target loss function; establishing an objective function for distinguishing a complementary relationship or a substitution relationship by introducing a mapping vector, and then establishing a joint objective function through category constraint and multi-step path constraint; inputting a training set in the set into the joint target function, and performing optimization solution on the training set to obtain a joint target model through training and obtain a possibility score through calculation; based on the likelihood scores, distinguishing relationships between the commodities. According to the embodiment, the technical problems of data sparsity and no consideration of interdependence between commodities can be solved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for distinguishing commodity relations. Background technique [0002] Personalized recommendation systems have become an indispensable part of connecting users, buyers and products, and are widely used in multimedia recommendation, news recommendation, product recommendation and other fields. Personalized recommendation often includes two processes: retrieval and ranking. Therefore, the personalized recommendation system can be optimized from two aspects: 1. How to more accurately retrieve related products from billions of products; 2. How to more accurately rank the relevance of products. [0003] The Scepter model is a recently proposed model for distinguishing complements from substitutes. The Sceptre model collects two data sets of "watching and watching" and "simultaneous purchase" as the training data sets of substitutes and complements, respectively...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0282G06F18/214G06F18/2411
Inventor 姜子恒任昭春殷大伟赵一鸿王梓涵汤继良
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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