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Note recommendation method, device and system

A recommendation method and note-taking technology, applied in the Internet field, can solve problems such as high trial-and-error rate, large randomness, and not suitable for user terminals, etc., and achieve the effect of reducing the trial-and-error rate

Pending Publication Date: 2020-09-08
小红书科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the above note recommendation method can only recommend notes based on the notes that the user terminal has browsed, so it can only recommend notes similar to the notes that the user terminal has browsed.
[0004] When it is necessary to recommend other types of notes to the user terminal, other types of notes will be randomly recommended. However, the random recommendation of other types of notes is relatively random, and is usually not suitable for the user terminal. Therefore, the note recommendation process in the prior art has certain limitations. high trial and error rate

Method used

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  • Note recommendation method, device and system
  • Note recommendation method, device and system
  • Note recommendation method, device and system

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Embodiment Construction

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0057] This application provides a note recommendation system, see figure 1,include:

[0058] A plurality of user terminals 100, and a server 200 connected to the plurality of user terminals.

[0059] Firstly, some pre-execution processes of this application are introduced. This application pre-sets several user attributes of user composition feature vectors. User attributes mainly include: gender, age, tags of browsed note content, browsed note binding products, etc., of course, ...

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Abstract

The invention provides a note recommendation method, device and system. The method comprises the steps of acquiring A feature vectors corresponding to A user terminals in a one-to-one mode; performingcolumn sampling and clustering operations for a preset number of times on the A feature vectors corresponding to the A user terminals one by one, and respectively obtaining A central point sets whichcorrespond to the A user terminals one by one and consist of central points obtained by the clustering operations for the preset number of times; based on the A central point sets in one-to-one correspondence with the A user terminals, executing classification operation to obtain K clusters, and respectively determining A cluster groups in one-to-one correspondence with the A user terminals, wherein each clustering group comprises one or more clusters to which the user terminal belongs; and for each user terminal, recommending historical browsing notes of the user terminal in the clustering group corresponding to the user terminal to the user terminal. The trial and error rate in the note recommendation process can be reduced.

Description

technical field [0001] The present application relates to the field of Internet technology, in particular to a note recommendation method, device and system. Background technique [0002] At present, some note recommendation software can determine the preference attribute of the user terminal according to the note browsing process of the user terminal, thereby recommending notes corresponding to the preference attribute to the user terminal for the user terminal to display the notes. [0003] However, the above note recommendation method can only recommend notes based on the notes that have been browsed by the user terminal, so only notes similar to the browsed notes can be recommended to the user terminal. [0004] When it is necessary to recommend other types of notes to the user terminal, other types of notes will be randomly recommended. However, the random recommendation of other types of notes is relatively random, and is usually not suitable for the user terminal. The...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/958G06K9/62
CPCG06F16/9535G06F16/958G06F18/23213
Inventor 徐彬
Owner 小红书科技有限公司
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