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Information recommendation method and device

A technology for information recommendation and business information, applied in the computer field, which can solve the problems of inaccurate results and failure to consider the relevance of business links.

Pending Publication Date: 2021-03-26
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the prior art, the prediction model usually simply predicts the possibility of the user executing the business based on the input information, without taking into account the correlation between the various business links involved in the business, resulting in Predicted outcomes are often inaccurate

Method used

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  • Information recommendation method and device
  • Information recommendation method and device
  • Information recommendation method and device

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Embodiment Construction

[0039] In order to make the purpose, technical solution and advantages of this specification clearer, the technical solution of this specification will be clearly and completely described below in conjunction with specific embodiments of this specification and corresponding drawings. Apparently, the described embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this specification.

[0040] The technical solutions provided by each embodiment of this specification will be described in detail below in conjunction with the accompanying drawings.

[0041] In the existing technology, the business platform can use the prediction model to predict whether the user will execute the business after showing the business information of the business to be recommended to the user. The...

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Abstract

The invention discloses an information recommendation method and device, and the method comprises the steps that a business platform can determine a business needing to be recommended to a user as a target business, and obtains the user data of the user; and then, the service platform can input the user data into a pre-trained prediction model, so that for each sub-service link contained in the target service, according to the service execution sequence of each sub-service link contained in the target service, according to the user data and the determined execution probability corresponding tothe execution of the previous sub-service link by the user, predicts an execution probability corresponding to execution of the sub-business link by the user; and finally, the service platform can determine whether to recommend the service information corresponding to the target service to the user or not according to the predicted execution probability corresponding to the last sub-service linkof the target service executed by the user, so that the accuracy of the predicted probability of executing the target service by the user can be improved, and recommendation to the user is more accurate.

Description

technical field [0001] This description relates to the field of computer technology, in particular to a method and device for information recommendation. Background technique [0002] With the continuous development of Internet technology, a user can browse various information recommended to the user online, so as to directly perform some businesses online. [0003] The business platform usually predicts whether the user will execute the corresponding business after recommending business information to the user through the trained prediction model, and recommends the business to the user when it predicts that the user may execute the business. However, in the prior art, the predictive model usually simply predicts the possibility of the user executing the business based on the input information, without taking into account the correlation between the various business links involved in the business, resulting in The predicted results are often inaccurate. [0004] Therefore...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06N7/00G06F16/9535
CPCG06Q10/04G06F16/9535G06N7/01
Inventor 张颖而奚冬博陈振燕鹏
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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