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Product pushing method and device based on sparse matrix, computer equipment and medium

A sparse matrix and product technology, applied in the computer field, can solve the problems of complex processing and many data processing processes, and achieve the effects of improving performance, solving more data processing processes, and improving accuracy

Pending Publication Date: 2020-08-11
PINGAN INT SMART CITY TECH CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Based on this, it is necessary to address the above technical problems. This application provides a sparse matrix-based product push method, device, computer equipment and storage media to solve the technical problems of more complicated data processing processes in the prior art.

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  • Product pushing method and device based on sparse matrix, computer equipment and medium
  • Product pushing method and device based on sparse matrix, computer equipment and medium
  • Product pushing method and device based on sparse matrix, computer equipment and medium

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Embodiment Construction

[0033] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the application; the terms used herein in the description of the application are only to describe specific embodiments The purpose is not to limit the present application; the terms "comprising" and "having" and any variations thereof in the specification and claims of the present application and the description of the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0034] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrenc...

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Abstract

The invention belongs to the field of computers, and discloses a product pushing method and a product pushing device based on a sparse matrix, computer equipment and a readable storage medium. The product pushing method comprises the steps of: acquiring a product file, and constructing a product feature vector belonging to the product file; performing clustering analysis on the product feature vectors according to vector distances among the product feature vectors to obtain a to-be-matched product database; acquiring object labeling information, marking associated objects in the same object type according to the relevance between a product and the objects, and constructing a sparse matrix of the associated objects; decomposing the sparse matrix into an object matrix and a product matrix, and acquiring a matching degree matrix of the objects and the product; sorting matching degrees of the objects in the matching degree matrix, taking the product corresponding to the highest matching degree as a target matching product, pushing the target matching product to the object, and taking the object as a target matching object. By adopting the product pushing method, the technical problemsof more data processing processes and more complicated processing in the prior art are solved.

Description

technical field [0001] The present application relates to the field of computers, in particular to a sparse matrix-based product push method, device, computer equipment and storage medium. Background technique [0002] In the existing technology, if you want to push suitable product information for a specified user object, you need to browse, consult, analyze and other operations on product files, and then get a product suitable for the specified object. It is a waste of time and human resources, and there is an urgent need for a mechanism to make the entire process of matching products and objects smooth. In the prior art, the item type matrix, user personalized recommendation matrix, and item preference degree matrix are usually constructed, and then a user scoring benchmark matrix is ​​generated according to the above three matrices, and then the benchmark matrix is ​​decomposed to obtain two latent semantics Matrix, and then use the gradient descent method to optimize t...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06K9/62H04L29/08
CPCG06Q30/0631H04L67/55G06F18/23
Inventor 林岳鹏
Owner PINGAN INT SMART CITY TECH CO LTD
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