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Article recommendation method and device, electronic equipment and storage medium

A recommendation method and item technology, applied in the Internet field, can solve problems such as long search time and failure to meet the joint requirements of the first item and the second item, and achieve the effect of meeting the joint demand and reducing the search time

Pending Publication Date: 2021-03-23
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, when recommending items to users, only the first item type or the second item type can be recommended alone, that is, the first item type is recommended under the first item item, and the first item type item is recommended under the second item type item. Recommend the second item category item, and if the user does not find a suitable first item item under the first item item item, it is possible to go to the second item category item item to find the second item category item item, which leads to a longer search time for the user. Long, unable to meet the user's joint demand for the first item and the second item

Method used

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  • Article recommendation method and device, electronic equipment and storage medium
  • Article recommendation method and device, electronic equipment and storage medium
  • Article recommendation method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0028] An item recommendation method provided in this embodiment, such as figure 1 As shown, the method includes: Step 110 to Step 150.

[0029] Step 110, when the recommendation request of the current user is received, the historical behavior data of the current user is acquired.

[0030] When the current user uses the user terminal to open the first item or the second item, or the current user uses the user terminal to search for the first item or the second item, the user terminal receives the current user's recommendation request and sends the recommendation request to the execution item The electronic device of the recommending method, the electronic device receives the recommendation request of the current user, and at this time, the electronic device obtains the historical behavior data of the current user from the database. The historical behavior data may include the first item and the second item clicked or placed by the current user in history, and the historical b...

Embodiment 2

[0066] An item recommendation device provided in this embodiment, such as Figure 4 As shown, the item recommendation device 400 includes:

[0067] The historical data obtaining module 410 is used for obtaining the historical behavior data of the current user when receiving the recommendation request of the current user;

[0068] The vector representation module 420 is configured to determine the vector representations of the first item and the second item in the historical behavior data through a graph representation model, and obtain a historical first item vector and a historical second item vector, wherein the first item There is an association relationship with the second item, and the graph representation model is obtained by training based on heterogeneous graphs of the first item and the second item;

[0069] A user vector determination module 430, configured to determine the user vector corresponding to the current user according to the historical first item vector a...

Embodiment 3

[0100] The embodiment of the present application also provides an electronic device, such as Figure 5 As shown, the electronic device 500 may include one or more processors 510 and one or more memories 520 connected to the processors 510 . The electronic device 500 may also include an input interface 530 and an output interface 540 for communicating with another device or system. Program codes executed by processor 510 may be stored in memory 520 .

[0101] The processor 510 in the electronic device 500 invokes the program code stored in the memory 520 to execute the item recommendation method in the above-mentioned embodiments.

[0102] The embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the item recommendation method described in the first embodiment of the present application are implemented.

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Abstract

The embodiment of the invention discloses an article recommendation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the historical behaviordata of a current user when a recommendation request of the current user is received; determining vector representation of a first article and a second article in the historical behavior data througha graph representation model to obtain a historical first article vector and a historical second article vector; determining a user vector corresponding to the current user according to the historicalfirst article vector and the historical second article vector; sorting the plurality of to-be-recommended articles according to the user vector and the article vectors corresponding to the pluralityof to-be-recommended articles to obtain an article recommendation list, the to-be-recommended articles comprising the first article or the second article, and the article recommendation list comprising the articles and the second article; and sending the article recommendation list to the user terminal of the current user. According to the embodiment of the invention, the joint recommendation of the first article and the second article is realized, and the joint demand of the user for the first article and the second article is met.

Description

technical field [0001] The embodiments of the present application relate to the technical field of the Internet, and in particular, to an item recommendation method, device, electronic equipment, and storage medium. Background technique [0002] At present, the recommendation of the first item and the second item with a relationship are two relatively isolated businesses. The first item recommendation mainly meets the user's demand for the finished product of the first item, while the second item recommendation mainly meets the user's demand for the first item. raw material demand. [0003] In the prior art, when recommending items to users, only the first item type or the second item type can be recommended alone, that is, the first item type is recommended under the first item item, and the first item type item is recommended under the second item type item. Recommend the second item category item, and if the user does not find a suitable first item item under the first i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/9538G06F16/901
CPCG06F16/9535G06F16/9538G06F16/9024
Inventor 杨林张海超胡懋地
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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