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Article recommendation method and device, computer storage medium and electronic equipment

A technology of items and storage space, applied in the field of data processing, can solve the problems of inability to evaluate the consumption potential of new registered users and the inability to recommend new registered users, so as to improve browsing efficiency and item transaction rate, save time for searching items, and improve recommendation The effect of accuracy

Pending Publication Date: 2021-12-17
BEIJING WODONG TIANJUN INFORMATION TECH CO LTD +1
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AI Technical Summary

Problems solved by technology

[0003] In related technologies, it is generally based on the user's existing behaviors, such as purchase behavior, browsing behavior, purchased product attributes and other behavioral characteristics, and cooperates with models such as decision trees to evaluate consumers' consumption potential. It can be seen that related technologies cannot Evaluate the consumption potential of registered users, and cannot make accurate recommendations for new registered users

Method used

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  • Article recommendation method and device, computer storage medium and electronic equipment
  • Article recommendation method and device, computer storage medium and electronic equipment
  • Article recommendation method and device, computer storage medium and electronic equipment

Examples

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Embodiment Construction

[0033]Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details being omitted, or other methods, components, devices, steps, etc. may be adopted. In other instances, well-known technical solutions...

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Abstract

The invention relates to the technical field of data processing, and provides an article recommendation method, an article recommendation device, a computer storage medium and electronic device. The article recommendation method comprises the steps: determining t the target category to which a target user belongs under preset M feature dimensions; matching the score value corresponding to each feature dimension according to the corresponding relationship between the feature dimension pre-stored in the storage space and the score value; determining a weighting parameter corresponding to each target category according to a corresponding relationship between the target category pre-stored in the storage space and the weighting parameter; according to the score value and the weighting parameter, determining a consumption potential evaluation value of the target user; and recommending a target article corresponding to the consumption potential evaluation value to the target user. According to the method and the device, the article matched with the consumption ability of the newly registered user can be recommended to the newly registered user, so that the recommended article can accurately cover the user demand, and the article searching time of the user is saved.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, and in particular to an item recommendation method, an item recommendation device, a computer storage medium, and electronic equipment. Background technique [0002] With the rapid development of computer and Internet technology, the field of related data processing is also developing rapidly. For the relevant item display platform, if it is possible to recommend items that match different types of users' consumption ability, it can greatly save the time for users to search for products and improve user satisfaction. [0003] In related technologies, it is generally based on the user's existing behaviors, such as purchase behavior, browsing behavior, purchased product attributes and other behavioral characteristics, and cooperates with models such as decision trees to evaluate consumers' consumption potential. It can be seen that related technologies cannot The consumption poten...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0631G06Q30/0623
Inventor 赵森董亚楠
Owner BEIJING WODONG TIANJUN INFORMATION TECH CO LTD
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