Object recommendation method and device and computer storage medium

A recommendation method and object technology, applied in the computer field, can solve the problem of low accuracy

Active Publication Date: 2020-04-21
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the prior art, the similarity between different interactive objects is obtained by directly calculating the similarity between the explicit feature information corresponding to the two interactive objects, and the accuracy of object recommendation using this similarity is not high

Method used

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  • Object recommendation method and device and computer storage medium
  • Object recommendation method and device and computer storage medium
  • Object recommendation method and device and computer storage medium

Examples

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Embodiment Construction

[0049] Referring to the drawings, wherein the same reference numerals represent the same components, the principles of the present application are exemplified by being implemented in a suitable computing environment. The following description is based on illustrated specific embodiments of the present application, which should not be construed as limiting other specific embodiments of the present application that are not described in detail here.

[0050]In the following description, specific embodiments of the present application will be described with reference to steps and symbols executed by one or more computers, unless otherwise stated. Accordingly, these steps and operations will several times be referred to as being computer-implemented, which herein refers to operations by a computer processing unit of electronic signals representing data in a structured form. This operation transforms the data or maintains it at a location in the computer's memory system that can rec...

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Abstract

The embodiment of the invention discloses an object recommendation method and device and a computer storage medium. The method comprises the steps of determining a plurality of to-be-recommended objects and a reference object, extracting feature information corresponding to each to-be-recommended object and reference feature information corresponding to the reference object, attention distributionprocessing is carried out on the multiple parts of feature information based on the attention parameter information; obtaining attention feature information concerning the matching degree between theto-be-recommended objects and the reference objects, obtaining similarity information between each to-be-recommended object and the reference objects based on the attention feature information, selecting a target recommendation object sequence from the to-be-recommended objects based on the similarity information, and outputting the target recommendation object sequence. According to the scheme,the attention feature information of the matching degree between the historical interaction object corresponding to the historical behavior of the user and the to-be-predicted object can be mined through the attention mechanism, and the similarity information is acquired according to the attention feature information, so that the accuracy of object recommendation is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to an object recommendation method, device, and computer storage medium. Background technique [0002] The recommendation system is a system that provides users with object information and object interaction suggestions through the Internet. It can learn the user's interest characteristics and behavior characteristics according to the user's historical behavior, and according to the similarity between different interactive objects, recommend to the user Users recommend the information they are interested in, thereby helping users decide which objects to interact with. Therefore, it is necessary to accurately capture the similarity between different interactive objects. However, in the prior art, the similarity between different interactive objects is obtained by directly calculating the similarity between the corresponding explicit feature information of two interac...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06K9/62G06N3/04G06N3/08
CPCG06F16/9535G06N3/08G06N3/045G06F18/24
Inventor 缪畅宇
Owner TENCENT TECH (SHENZHEN) CO LTD
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