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Text recommendation method and device based on artificial intelligence

A technology of artificial intelligence and recommendation methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as poor user experience and inaccurate recommended text, so as to improve accuracy and user experience Sensitive effect

Pending Publication Date: 2020-01-14
TENCENT TECH (BEIJING) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the text recommendation system uniformly recommends the same text to users based on the historical browsing text, resulting in inaccurate recommended text and poor user experience

Method used

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  • Text recommendation method and device based on artificial intelligence
  • Text recommendation method and device based on artificial intelligence
  • Text recommendation method and device based on artificial intelligence

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Embodiment Construction

[0063] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings, and the described embodiments should not be considered as limiting the present invention, and those of ordinary skill in the art do not make any All other embodiments obtained under the premise of creative labor belong to the protection scope of the present invention.

[0064] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict.

[0065] In the following description, the terms "first\second" are only used to distinguish similar objects, and do not represent a specific order for objects. Understandably, "first\second" can be The particular ...

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Abstract

The invention provides a text recommendation method and device based on artificial intelligence, electronic equipment and a storage medium. The method comprises the steps of determining a standard text from a historical browsing text set of a target user for a request for text recommendation of the target user; recalling the to-be-recommended text set according to the standard text, and determining the to-be-recommended text corresponding to the standard text; obtaining the user interest of the target user for the standard text; fusing the user interest and the standard text to obtain a fusedtext fused with the user interest; obtaining the similarity between the to-be-recommended text and the standard text according to the fused text fused with the interest of the target user and the to-be-recommended text; and sorting the to-be-recommended texts based on the similarity between the to-be-recommended texts and the standard texts to obtain recommended texts corresponding to the standardtexts, and screening the recommended texts to obtain recommended texts for responding to the request. According to the invention, the text conforming to the interest of the user is recommended to theuser according to the individual difference of the user.

Description

technical field [0001] The present invention relates to natural language processing technology of artificial intelligence, in particular to an artificial intelligence-based text recommendation method, device, electronic equipment and storage medium. Background technique [0002] Natural Language Processing (NLP) is an important direction in the field of computer science and artificial intelligence, which can realize effective communication between humans and computers using natural language. Natural language processing is a science that combines linguistics, computer science, and mathematics. So this field will deal with natural language, the language that people use every day, so it has a close connection with linguistics. Natural language processing technologies usually include text processing, semantic understanding, machine translation, robot question answering, knowledge graph and other technologies. [0003] The text recommendation system is one of the important appl...

Claims

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Application Information

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IPC IPC(8): G06F16/335
CPCG06F16/335
Inventor 杜颖
Owner TENCENT TECH (BEIJING) CO LTD