Data processing method and device

A technology for processing data and vectors, applied in the computer field, it can solve problems such as inability to mine vector tables accurately and efficiently, and inability to distinguish long-term, mid-term and recent interest changes of users, and achieve the effect of reducing manual intervention and enhancing learning ability.

Pending Publication Date: 2021-12-07
BEIJING WODONG TIANJUN INFORMATION TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of this, the embodiments of the present invention provide a method and device for processing data to solve the problem of the inability to accurately and efficiently min

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Embodiment Construction

[0070] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0071] Currently, commonly used personalized sorting algorithms mainly include the following:

[0072] 1) Sorting of personalized tags based on users and items: This method essentially relies on massive data and a large number of feature engineering to put explicit personalized tags on user and item attributes, and then scores based on the traditional xgboost model or lear...

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Abstract

The invention discloses a data processing method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of generating an embedding vector, a behavior embedding vector and an interest evolution embedding vector of a target user and an embedding vector of a target article according to behavior characteristics and basic characteristics of the target user and behavior characteristics and basic characteristics of the target article; splicing the embedding vector of the target user, the behavior embedding vector, the interest evolution embedding vector and the embedding vector of the target article into a combined embedding vector of the target user; and inputting the combined embedding vector of the target user into a pre-trained calculation model so as to output the behavior probability of the target user to the target article. According to the embodiment, the technical problems that the hidden vector table between the user and the article cannot be accurately and efficiently mined, and the long-term, middle-term and recent interest changes of the user cannot be distinguished can be solved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for processing data. Background technique [0002] Personalized sorting is a technology that uses machine learning and deep learning algorithms to present personalized push results to users in different application scenarios based on the user's personalized characteristics. The most important purpose of this technology is to present to users the items with the highest priority in the hearts of very few users from a large number of candidate sets. [0003] In the course of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0004] It is impossible to accurately and efficiently mine the implicit vector table between users and items, and it is impossible to distinguish the long-term, medium-term and short-term interest changes of users, resulting in inaccurate calculation results. Con...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q30/06G06N3/08G06N3/04
CPCG06Q30/0201G06Q30/0631G06N3/08G06N3/044G06N3/045
Inventor 蒋权陈希李鑫
Owner BEIJING WODONG TIANJUN INFORMATION TECH CO LTD
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