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A personalized knowledge recommendation method and system for different scenarios

A recommendation method and scene technology, applied in machine learning, instrumentation, computing, etc., can solve problems such as poor recommendation effect and difficulty in capturing sequence recommendation models, and achieve the effect of improving recommendation effect

Active Publication Date: 2021-04-27
SHANDONG UNIV
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  • Abstract
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  • Claims
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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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  • A personalized knowledge recommendation method and system for different scenarios
  • A personalized knowledge recommendation method and system for different scenarios
  • A personalized knowledge recommendation method and system for different scenarios

Examples

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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

This disclosure provides a personalized knowledge recommendation method and system for different scenarios, which acquires user data information and judges the usage scenario; if it is a short-term conversational scenario, establishes a conversational learning model and extracts user interaction items in the conversation as input , model each interaction behavior through the attention mechanism, and output the preference of the conversation content; establish the edge information learning module, use the graph structure information, and predict the current user needs by mining the edge information of the project; if it is a long-term continuous scene , using classification-hierarchical attention mechanism for encoding, learning preferences at two levels of knowledge items and categories, and predicting user needs; according to the predicted user needs, recommend relevant information, and 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 Patents(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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