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Information recommendation method and system

A technology for real-time recommendation and information recommendation, applied in digital data information retrieval, instruments, computing, etc., can solve the problems of long application content, low activity, and low application download volume, achieve diversification of recommendation models, and improve customer experience , the effect of improving efficiency

Active Publication Date: 2022-03-25
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides an information recommendation method and system, which can solve the problems of manual online inspection of application content, which leads to the discovery of problematic application content for too long, and the problems of low application download volume and low activity

Method used

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  • Information recommendation method and system
  • Information recommendation method and system

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Embodiment Construction

[0024] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. The embodiments described above are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present invention.

[0025] The information recommendation method provided by the embodiments of the present invention can be applied to e-commerce, news, reading home pages, search pages, and application scenarios such as home pages, software pages, and game pages of application markets or application stores. After browsing, clicking, downloading or searching...

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Abstract

The invention discloses an information recommendation method. The method includes collecting user operation data by a terminal and sending it to a server. The server obtains the user's behavior characteristics according to the operation data within a preset time period, and the server constructs various application scenarios corresponding to the behavior characteristics in real time. and send the real-time recommendation model to the terminal. When the trigger condition is met, the terminal invokes the real-time recommendation model that matches the characteristics of the current application scenario, obtains the recommendation information and displays the recommendation information. The invention also discloses an information recommendation system, which can improve the accuracy of recommendation and realize recommendation based on individual users.

Description

technical field [0001] The invention belongs to the technical field of terminals, and in particular relates to an information recommendation method and system. Background technique [0002] With the advent of the era of big data, major application stores or application markets have successively introduced personalized recommendation algorithms based on big data to improve user experience. However, due to technical and cost constraints, most of these solutions use user portrait attributes generated by offline mining algorithms for recommendation, such as recommending applications to users based on their gender, age, education, occupation, income and other characteristics. [0003] The disadvantage of the above-mentioned prior art is that the user portrait data is basically updated according to the time granularity of the day, which can only reflect the long-term interest of the user, while the user's massive information needs have the characteristics of instant, short-term an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
Inventor 张强岳利军
Owner TENCENT TECH (SHENZHEN) CO LTD
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