An intelligent recommendation system based on big data

A recommendation system and big data technology, applied in the field of data processing, can solve problems such as lack of real-time performance, inaccurate recommendation information, and large environmental restrictions, and achieve low scalability, low computing efficiency, and data sparsity Questions, recommendations and precise results

Inactive Publication Date: 2019-04-23
内江亿橙网络科技有限公司
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  • Summary
  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an intelligent recommendation system based on big data, which solves the problem that the traditional recommendation system has inaccurate recommendation information, does not have real-time performance, and is greatly restricted by the environment

Method used

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  • An intelligent recommendation system based on big data

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Embodiment 1

[0049] An intelligent recommendation system based on big data provided by a preferred embodiment of the present invention includes a client, a server and a large cloud database, the client is connected to the server, and the server is connected to the cloud large database;

[0050] The client collects user log information and real-time operation attributes, writes them to the server, and displays the recommendation result information fed back by the server;

[0051] The server uses deep learning technology to analyze the collected user log information and real-time operation attributes, and establishes a user interest model;

[0052] According to the user interest model, the cloud large database uses a recommendation algorithm to screen out products to be recommended in real time, and then returns to the client through the server for display.

[0053] Further, the client can be a web terminal or a mobile terminal, including a log system and an interface display. The log system...

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Abstract

The invention discloses an intelligent recommendation system based on big data, and belongs to the data processing technology field. The system comprises a client used for collecting the log information and the real-time operation attributes of a user, writing into a server and displaying the recommendation result information fed back by the server; the server used for collecting the user log information and the real-time operation attributes, adopting a deep learning technology for data analysis and establishing a user interest model; and a cloud big database which is used for screening out the products to be recommended in real time by utilizing a recommendation algorithm according to the user interest model and returning the products to be recommended to the client for display through the server, wherein the client is connected with the server, and the server is connected with the cloud big database. According to the present invention, the problems that a traditional recommendationsystem is inaccurate in recommendation information, does not have real-time performance and is greatly limited by the environment, are solved.

Description

technical field [0001] The invention belongs to the technical field of data processing, and relates to an intelligent recommendation system based on big data. Background technique [0002] With the development of mobile information, the amount of information data continues to grow, and the concepts of e-commerce and big data have received widespread attention from all walks of life. As a new technological revolution, how to make full use of big data and how to quickly and effectively extract valuable information in a big data environment is a hot topic at present, and the best tool to solve this problem is the recommendation system. [0003] Therefore, there are also some recommendation systems on the market, such as the product recommendation system used in online shopping platforms. This system is generally divided into two stages, the data preprocessing stage and the recommendation generation stage; User preferences are obtained from search records and browsing records; ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06Q30/0631
Inventor 张斌
Owner 内江亿橙网络科技有限公司
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