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An information recommendation method and device

A technology for recommending information and recommending users. It is applied in the field of data processing and can solve the problems of inability to provide recommended information for new users and inability to determine the interest value of new users.

Active Publication Date: 2022-04-19
BEIJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Since there is no historical data for new users, it is impossible to determine the interest value of new users for recommended items according to the above recommendation method, and it is also impossible to provide recommendation information for new users

Method used

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  • An information recommendation method and device
  • An information recommendation method and device
  • An information recommendation method and device

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Experimental program
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Effect test

Embodiment approach

[0194] As an implementation manner of the embodiment of the present invention, the information recommending device may further include:

[0195] Judgment module ( Figure 4 not shown in ), used to determine the target recommended item from the to-be-recommended items according to the first interest value corresponding to the to-be-recommended item, and push the item information of the target recommended item to the to-be-recommended Before the user, determine whether there is a historical item corresponding to the user to be recommended among the items to be recommended;

[0196] execute module ( Figure 4 not shown in ), if it does not exist, it is used to determine the target recommendation item from the to-be-recommended items according to the first interest value corresponding to the to-be-recommended item, and store the item information of the target recommended item The step of pushing to the user to be recommended;

[0197] Semantic similarity determination module ( ...

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Abstract

An embodiment of the present invention provides an information recommendation method and device. The method includes: acquiring user information of a user to be recommended and item information of multiple items to be recommended; determining preference relationship information according to the reference information corresponding to the item to be recommended; Information, item information and preference relationship information are input into the information processing model to obtain the user vector, target item vector, preference relationship vector and preference relationship hyperplane; determine the sum of the projection vector of the user vector on the preference relationship hyperplane and the preference relationship vector, As the expected vector of the user to be recommended; according to the distance between the expected vector of the user to be recommended and the projected vector of the item, determine the first interest value of the user to be recommended for each item to be recommended; according to the first interest value of the item to be recommended, from the item to be recommended The target recommendation item is determined in , and the item information of the target recommendation item is pushed to the user to be recommended. By adopting this embodiment of the method, the item information of the target recommendation item can be pushed to the new user.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an information recommendation method and device. Background technique [0002] With the rapid development of Internet-related technologies, the data volume of network information has shown an exponential growth. At the same time, it is becoming more and more difficult for users to obtain the required information from a large amount of network information. In order to provide users with the desired information, personalized recommendation methods emerge as the times require. [0003] Currently, the commonly used personalized recommendation methods can generally provide users with recommendation information based on their historical data, where the historical data can be the user's search history, commodity purchase records, and the like. Since the user is likely to choose an item to be recommended that is similar to the item in the user's historical data, the electronic d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 张兴韩策
Owner BEIJING UNIV OF POSTS & TELECOMM
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