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Recommendation method and device, electronic equipment and computer readable storage medium

A recommendation method and technology of storage medium, applied in the field of recommendation method, computer-readable storage medium, and device, to achieve the effect of enriching and sufficient related information

Pending Publication Date: 2020-11-20
CCB FINTECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the algorithms used in the recommendation system are mainly divided into five categories, content-based recommendation algorithms, collaborative filtering-based recommendation algorithms, expert rule-based recommendation algorithms, network structure-based recommendation algorithms, deep learning-based recommendation algorithms, hybrid recommendation algorithms, etc. , but it is difficult for a specific algorithm to solve problems such as user cold start, data sparsity, and real-time performance at the same time

Method used

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  • Recommendation method and device, electronic equipment and computer readable storage medium
  • Recommendation method and device, electronic equipment and computer readable storage medium
  • Recommendation method and device, electronic equipment and computer readable storage medium

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Embodiment Construction

[0038] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present application, and should not be construed as limiting the present invention.

[0039] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. The expressi...

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Abstract

The invention relates to the field of knowledge graph-based machine learning, and discloses a recommendation method and device, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining a first target behavior of a first target subject, searching a second target subject in a pre-stored knowledge graph according to the first target behavior, and pushing a second target object associated with the second target subject to the first target subject. According to the scheme, the knowledge graph is created according to the user, the user behavior and the related object information, richer and more sufficient associated information can be obtained compared with an algorithm, and more associated messages can be recommended to the user.

Description

technical field [0001] The present invention relates to the field of knowledge graph and machine learning, in particular to a recommendation method, device, electronic equipment and computer-readable storage medium Background technique [0002] With the advent of the era of big data, network information data has shown exponential growth, and it is also filled with a lot of junk information, which is the cause of information overload. A recommendation system is a technology that can provide users with effective information services. The recommendation system mainly uses the user's behavior information on items to dig out the user's personalized needs, and actively provides users with information that meets their needs through the user's interest model. The recommendation system has become an important research field in providing personalized services for users because of its ability to mine user interests, and has been widely used. At present, the algorithms used in the rec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536G06Q30/02G06Q40/06
CPCG06F16/9536G06Q30/0255G06Q40/06
Inventor 陈琳
Owner CCB FINTECH CO LTD