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Information recommendation method and device, computer equipment and storage medium

An information recommendation and user technology, applied in the Internet field, can solve the problems of untargeted information recommendation, low advertising overlap, and sparse recommendation methods

Active Publication Date: 2019-10-22
深圳新度博望科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

However, in the above method, the user’s advertising overlap is low, and the way of recommending the user’s

Method used

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  • Information recommendation method and device, computer equipment and storage medium
  • Information recommendation method and device, computer equipment and storage medium
  • Information recommendation method and device, computer equipment and storage medium

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Embodiment Construction

[0076] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0077] The information recommendation method provided by the embodiment of the present invention can be applied in such as figure 1 Schematic diagram of the system framework. The above-mentioned advertising delivery system can be applied to any application APP, mainly for the application scenario of the input method APP. The above-mentioned application APP is installed in the terminal device, wherein the terminal device can be but not limited to various...

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Abstract

The invention discloses an information recommendation method and device, computer equipment and a storage medium, which can be used for improving the pertinence of information recommendation. The method comprises the steps of calculating interestingness of a user to each first application according to search data, click data and installation data; obtaining an application description text corresponding to each first application; determining a feature vector of the user according to the TF-IDF vector of the application description text and the contribution degree of each first application to the user;; clustering the users according to the feature vectors of the users to obtain user groups; determining a second application for the target user as a to-be-recommended application according tothe similarity between the target user and other users in the user group and the interestingness of other users for the second application; and generating recommendation information according to the to-be-recommended application and recommending the recommendation information to the target user.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to an information recommendation method, device, computer equipment and storage medium. Background technique [0002] In order to improve the accuracy and pertinence of advertisement recommendation, various information recommendation methods have appeared. Traditionally, the user’s advertisement behavior data is usually used, that is, whether the user has clicked on an advertisement, and the user’s The type of preference advertisement, so as to recommend related types of applications to the user, and achieve the purpose of advertisement. However, in the above method, the user's advertisement overlap is low, and the manner of recommending the advertisement behavior data is relatively sparse, so that the final information recommendation is not targeted. Contents of the invention [0003] Embodiments of the present invention provide an information recommendation method,...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0255G06Q30/0256G06Q30/0277
Inventor 赵琪王更生糜帅
Owner 深圳新度博望科技有限公司
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