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Resource recommendation method and device and electronic equipment

A resource and recommendation request technology, applied in the field of data processing, can solve the problem of low user conversion rate and achieve the effect of improving conversion rate

Active Publication Date: 2019-11-05
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of this specification provides a method and device for classifying risk levels based on user accounts, so as to solve the problem of low user conversion rate existing in the prior art

Method used

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  • Resource recommendation method and device and electronic equipment
  • Resource recommendation method and device and electronic equipment
  • Resource recommendation method and device and electronic equipment

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Embodiment Construction

[0023] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in this specification without creative efforts shall fall within the protection scope of the present application.

[0024] In some Internet products, in order to facilitate users to find resources that may be of interest, it is necessary to recommend resources to users. The algorithm model can calculate the resources that users are most likely to click, and recommend these resources to users. In the existing technology, traditional machine learning models (such ...

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Abstract

The embodiment of the invention provides a resource recommendation method and device and electronic equipment. The method comprises the following steps: receiving a resource recommendation request ofa target user; according to the resource recommendation request, obtaining feature information of the target user and feature information of to-be-recommended resources associated with the target userfrom an online database, wherein the feature information of the to-be-recommended resources comprises information of multiple historical operation behavior data of the to-be-recommended resources; inputting the feature information of the target user and the feature information of the to-be-recommended resource into an online machine learning model to obtain a prediction score of the to-be-recommended resource; and selecting one or more to-be-recommended resources from the to-be-recommended resources according to the prediction score, and recommending the one or more to-be-recommended resources to the target user to complete resource recommendation for the target user.

Description

technical field [0001] This specification relates to the technical field of data processing, and in particular to a resource recommendation method, device and electronic equipment. Background technique [0002] With the rapid development of Internet technology, the types and functions of network applications based on Internet technology are becoming more and more abundant. Network applications can recommend some resources to users. For example, consumer applications can recommend products, coupons, etc. to users. Taking product recommendation as an example, in order to facilitate users to quickly find the product they want, an algorithm model can be used to calculate the product that the user is most likely to click and recommend it to the user. [0003] In the prior art, in the recommendation system of commodities and coupons, the click-through rate of users is estimated, and commodities or coupons are recommended to users according to the estimated results. However, in pra...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06N20/00
CPCG06F16/9535G06N20/00
Inventor 王艺林王哲苏建安
Owner ADVANCED NEW TECH CO LTD
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