Article recommendation method and device and electronic equipment

A recommendation method and item technology, applied in the computer field, can solve the problem that the accuracy rate of items recommended by users is not high enough, and achieve the effect of improving the accuracy rate and increasing sales.

Pending Publication Date: 2021-11-16
卓尔智联(武汉)研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, most of the existing user-based recommendation algorithms rely on the user's r

Method used

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  • Article recommendation method and device and electronic equipment
  • Article recommendation method and device and electronic equipment
  • Article recommendation method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0061] Example one

[0062] See figure 1 As shown in a flowchart of a recommendation method provided by the embodiment of the article embodiment of the present application.

[0063] In the present embodiment, the method may be applied to the article recommendation function of the electronic apparatus, the electronic apparatus required for the recommended item, the electronic device may be directly in the process of Part application cost for the provided recommendation items, or to in the form of a software development kit (software development Kit, SDK) running in the electronic device.

[0064] like figure 1 Shown, the item recommendation method includes the following steps, according to different needs, in the order of the steps in the flowchart may be changed, some steps may be omitted.

[0065] Step S1, the collected tag data items.

[0066] The data labeled article comprising:

[0067] A set of a plurality of labels I, the total number nt of the plurality of tags, the plurality of

Example Embodiment

[0139] Example 2

[0140] figure 2 It is a structural diagram of the item recommended device according to the second embodiment of the present invention.

[0141] In some embodiments, the item recommended device 20 can include a plurality of functional modules composed of program code segments. The program code of the various blocks in the item recommended device 20 can be stored in the memory of the electronic device, and is performed by the at least one processor to execute (see figure 1 Description) The features recommended by the item.

[0142] In this embodiment, the article recommendation device 20 can be divided into a plurality of functional modules according to the functions thereof. The functional module can include: collecting module 201, classification module 202, a build module 203, a determination module 204, a recommendation module 205. The module referred to herein refers to a series of computer blocks capable of being performed by at least one processor and capable

Example Embodiment

[0216] Example three

[0217] See image 3 As shown in a schematic structural diagram of the electronic device according to a third embodiment of the present invention. In the preferred embodiment of the present invention, the electronic device 3 comprises a memory 31, the at least one processor 32, at least one communication bus 33 and the transceiver 34.

[0218] Those skilled in the art will appreciate, image 3 Structure of the electronic device illustrated embodiment is not intended to limit, either embodiment of the bus structure of the present invention may be a star-shaped structure, the electronic device 3 may also include more or less than other hardware shown or software, or a different arrangement of components.

[0219] In some embodiments, the electronic device 3 comprises capable of automatically performs numerical calculation and / or the information processing terminal in accordance with instructions set in advance or stored, including but not limited to hardware micro

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Abstract

The invention provides an article recommendation method and device and electronic equipment, and the method comprises the steps: collecting label article data; dividing a plurality of articles into a first type of articles and a second type of articles according to the label article data; constructing a first matrix according to the label article data; obtaining a set of the first type of articles, and obtaining a second matrix of the set of the first type of articles according to the first matrix; defining a time function, and updating the second matrix according to the time function to obtain a third matrix; obtaining a nearest neighbor article of any article in the second type of articles, and determining the type of any article according to the nearest neighbor article and the third matrix; and determining whether to recommend the any article according to the category of the any article. The method and the device can assist in article recommendation and improve the article recommendation accuracy.

Description

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Claims

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Application Information

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Owner 卓尔智联(武汉)研究院有限公司
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