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Method and apparatus for entity recommendation

A recommendation method and entity technology, applied in the field of data analysis, can solve the problem of low accuracy of recommended entities and achieve the effect of improving accuracy and coverage

Inactive Publication Date: 2018-12-21
GUOXIN YOUE DATA CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In view of this, the purpose of this application is to provide an entity recommendation method and device for solving the problem of low accuracy in recommending entities in the prior art

Method used

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  • Method and apparatus for entity recommendation
  • Method and apparatus for entity recommendation
  • Method and apparatus for entity recommendation

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Embodiment Construction

[0040] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without...

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Abstract

The invention provides an entity recommendation method. The method comprises the following steps: an entity in a knowledge map being embedded to obtain an entity vector representing the entity; generating an input of a neural network model based on an entity vector of a selected entity that has been selected by a user, and outputting a predictive representation vector representing the content of interest to the user by the neural network model; calculating a similarity between the predicted representation vector and the entity vector; based on the calculated similarity, a recommending entity that makes recommendations to the user being determined.

Description

technical field [0001] The present application relates to the technical field of data analysis, in particular, to an entity recommendation method and device. Background technique [0002] In today's massive data, users will be faced with a variety of content, and each user also purchases, rates, and reviews a certain amount of content. The content that users have reviewed, rated, or purchased, think It is the content that the user is interested in, otherwise, it is considered to be the content that the user is not interested in. For a user, the content that the user is interested in is at most thousands, while the content in the system is at least tens of millions. Compared with the content in the system, the content that the user is interested in is extremely large. When the existing technology analyzes and predicts the content that the user is interested in, the predicted result may not be the content that the user is currently interested in, which reduces the user experi...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/06
CPCG06Q30/0631
Inventor 王惠照郑凯段立新江建军夏虎
Owner GUOXIN YOUE DATA CO LTD
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