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Topic recommendation method and system based on user tags

A technology of user tags and recommendation methods, applied in the field of topic recommendation methods and systems based on user tags, can solve problems such as limited push effect and inability to push topics that fit, and achieve the effect of increasing activity and possibility

Inactive Publication Date: 2020-11-10
上海梅斯医药科技有限公司
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  • Summary
  • Abstract
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Problems solved by technology

Therefore, this push method has certain limitations, the push effect is limited, and it is impossible to push suitable topics according to the user's personalization, so as to improve topic participation and user experience

Method used

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  • Topic recommendation method and system based on user tags
  • Topic recommendation method and system based on user tags
  • Topic recommendation method and system based on user tags

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Embodiment Construction

[0031] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0032] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of characteristics, wholes, steps, operations, elements, components and / or collections.

[0033] In order ...

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Abstract

The invention discloses a topic recommendation method and system based on user tags. The method comprises the following steps: selecting topic keywords from a keyword tag library of a cloud; wherein different keywords and frequencies are stored in the keyword tag library in a classified manner; inputting the topic keywords into the trained text generation neural network model of different modes toobtain topics of different modes of the topic keywords; and obtaining a reading label of the user, searching a topic matching the reading label of the user according to the reading label of the user,and recommending the topic to the user. Topics interested by the user can be accurately pushed and recommended according to the user label, and the possibility that the user participates in topic discussion is higher.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a topic recommendation method and system based on user tags. Background technique [0002] With the increasing popularity of the Internet, online forums and online communities in professional fields have become important channels for people to obtain and exchange professional information. A large number of netizens express their opinions, publish industry trends, new developments or breakthroughs in research and development, and hot technology news in the online community. Hot topics for users to discuss and exchange. If the topic provided to the user is what the user is good at and interested in, the enthusiasm of the user to participate in the discussion of the topic can be greatly increased, and the activity of the network community can be enhanced. [0003] The existing topic push method usually directly displays hot topics in the online community on the homepage or...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/335G06F16/35G06F16/9535
CPCG06F16/335G06F16/353G06F16/9535
Inventor 张发宝李欣梅
Owner 上海梅斯医药科技有限公司
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