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Article recommendation method and device

A technology for items and recommended items, applied in the computer field, can solve problems such as poor user experience, missing data, inaccurate user preference models, etc., to achieve the effect of improving practicability, overcoming data missing, and improving user experience

Pending Publication Date: 2020-10-13
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the zero-setting method or the traditional missing value filling method, such as mean value filling, mode filling or nearest neighbor filling, is used in the current item recommendation scene, which is difficult to effectively deal with this missing data phenomenon, resulting in inaccurate user preference models, or even There will be cases where items that the user dislikes are recommended for the user, which will bring a poor user experience to the user

Method used

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  • Article recommendation method and device
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  • Article recommendation method and device

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Embodiment Construction

[0035] 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.

[0036] On the network platform, the item supplier will use different fields to describe the item attributes when describing the item, so as to reflect the characteristics of the item, which not only facilitates the comparison and selection of users, but also facilitates the analysis and statistics of the item by the data department. Due to the large number of suppliers and...

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PUM

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Abstract

The invention discloses an article recommendation method and device, and relates to the technical field of computers. One specific embodiment of the article recommendation method comprises the steps of constructing at least one to-be-recommended article pool according to attribute information of to-be-recommended articles, and setting a specific theme of the at least one to-be-recommended articlepool; based on a document theme generation model, determining the correlation degree between the user and the to-be-recommended article according to the historical behavior data of the user and the specific theme; and training an article recommendation model by using the correlation degree and the historical behavior data of the user, and recommending the target article to the user according to the article recommendation model. According to the embodiment, the document topic generation model in machine learning is adopted for topic word extraction, and all data can be used to the maximum extent, and therefore articles can be recommended to users more accurately and effectively in a personalized mode.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for item recommendation. Background technique [0002] In the information age, online shopping has become a mainstream way of shopping, and various items can be purchased online, such as clothing, furniture, online courses, and life services. In order to meet the diverse needs of users, the network platform displays various items to users, but in the face of such a variety of items, how to recommend items that users are interested in to users at the first time is of great significance. [0003] Due to the complex and irregular sources of the obtained item information, there are a large number of missing values ​​in the item information. Therefore, in the prior art item recommendation method, the item information is collected and filtered and the missing value is processed, and then combined with the user history to get the user Preference model, and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06G06K9/62G06N20/00
CPCG06F16/9535G06Q30/0631G06N20/00G06F18/241
Inventor 闫瑞阳
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD