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Information recommendation method and device, equipment and storage medium

A technology for information recommendation and recommendation request, which is applied in the field of information processing and can solve the problems of less data and low recommendation accuracy

Pending Publication Date: 2022-05-06
JINGDONG CITY BEIJING DIGITS TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides an information recommendation method, device, device, and storage medium to solve the problem of low recommendation accuracy due to the lack of user historical behavior data

Method used

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  • Information recommendation method and device, equipment and storage medium
  • Information recommendation method and device, equipment and storage medium
  • Information recommendation method and device, equipment and storage medium

Examples

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Embodiment Construction

[0032] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0033] Explanation of terms:

[0034] Location Based Services (LBS) is to use various types of positioning technology to obtain the current location of the positioning device, and provide information resources and basic services to the positioning device through the mobile Internet.

[0035] figure 1 It is a schematic diagram of an application scenario applicable to the embodiment of t...

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Abstract

The invention provides an information recommendation method and device, equipment and a storage medium. The method comprises the steps of receiving a recommendation request, wherein the recommendation request comprises an identifier of a user; determining a candidate object; according to the identifier of the user and a preset corresponding relationship, determining a user feature vector corresponding to the user, the corresponding relationship being used for representing a mapping relationship between the user and the user feature vector, and the user feature vector being obtained by training vectorized representation of the user in the user data; the vector is used for representing the interest degree of the user on the object and the influence degree of the interest of the social friends of the user on the interest of the user; according to a user feature vector and a feature vector of the candidate object, the recommendation degree of the candidate object to the user is determined, and the feature vector of the candidate object is obtained by training vectorized representation of the object in the user data and is used for representing a vector of a user group of the object; and sorting the candidate objects according to the recommendation degree to obtain a recommendation result, and returning the recommendation result to the terminal equipment of the user.

Description

technical field [0001] The present application relates to information processing technology, and in particular to an information recommendation method, device, equipment and storage medium. Background technique [0002] With the development of information technology, the amount of data is increasing. These data can be used to make personalized recommendations for users. Personalized recommendation does not require users to provide clear requirements, it can recommend information, products, etc. that users are interested in to users according to their information needs, interests, etc. [0003] In the current personalized recommendation, the user portrait is mainly based on the user's historical behavior data, so as to make personalized recommendations for the user in the recommendation system according to the user portrait. These historical behavior data include objects that users have interacted with, such as attractions, merchants, business districts and other objects. ...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06F16/9537G06F16/906G06N3/08
CPCG06F16/9536G06F16/9537G06F16/906G06N3/08
Inventor 苏义军郑丽娟张钧波郑宇
Owner JINGDONG CITY BEIJING DIGITS TECH CO LTD
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