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Personalized knowledge recommendation method and system for different scenes

A recommendation method and scenario technology, applied in machine learning, instrumentation, computing, etc., can solve the problems of sequence recommendation models that are difficult to capture and poor recommendation effects

Active Publication Date: 2020-10-20
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For short-term conversational recommendation scenarios, most of the early recommendation methods only considered the relationship between users and items (user-item), which may lead to poor recommendation results; and for personalized recommendations based on user knowledge levels, the current sequence It is difficult for recommendation models to capture cross-category

Method used

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  • Personalized knowledge recommendation method and system for different scenes
  • Personalized knowledge recommendation method and system for different scenes
  • Personalized knowledge recommendation method and system for different scenes

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Embodiment Construction

[0052] The present disclosure will be further described below in conjunction with the accompanying drawings and embodiments.

[0053] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0054] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

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Abstract

The invention provides a personalized knowledge recommendation method and system for different scenes. The method comprises the following steps: obtaining user data information, and judging a usage scene where a user is located; if the scene is a short-term session type scene, establishing a session learning model, extracting user interaction items in the session as input, modeling each interaction behavior through an attention mechanism, and outputting preference of session content; establishing an edge information learning module, and predicting the current user demand by mining the edge information of the project by utilizing the graph structure information; if the scene is a long-term continuous scene, using a classification-layering attention mechanism for encoding, and carrying out preference learning on two levels of knowledge items and categories to predicate user requirements; and recommending related information according to predicted user requirements. The recommended information is more accurate.

Description

technical field [0001] The disclosure belongs to a data information processing method, and relates to a personalized knowledge recommendation method and system for different scenarios. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the innovation and rapid development of Internet technology, Internet information resources have increased dramatically. For Internet users, how to accurately obtain the required content from massive information resources is very difficult; for Internet platforms, how to Accurately providing users with appropriate information services, improving user access efficiency and optimizing user experience is also a very challenging task. The emergence of recommender systems has played a key role in alleviating information overload, and has been widely used by many Internet platforms such as e-commerce and onlin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06N20/00
CPCG06F16/9535G06N20/00
Inventor 史玉良李琳程林张坤孔凡玉
Owner SHANDONG UNIV
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