User interest based Web information push service system

Abstract

A user interest based Web information push service system comprises a plurality of internet of things terminals, a plurality of mobile terminals, a cloud server and an information publish terminal; the functions of the internet of things terminals are obtaining user interests; the plurality of mobile terminals are used for transmitting obtained user information and geographic position information of the internet of things terminals to the cloud server; the cloud server analyzes interest characteristics and evaluates push content relevancy feedback content according to the transmitted user information; the information publish terminal push analyzed personalized information.

Description

technical field [0001] The invention relates to a Web information push service system, in particular to a Web information push service system based on user interest. Background technique [0002] The advent of the Internet "information explosion" era, on the one hand, shows the rapid generation and update of Web information, and on the other hand, it shows that people need to find what they want from the huge and complex information. At present, the traditional information service mode is based on the PULL technology service mode, that is, the user actively seeks information, for example: 1. The channel conversion technology defines the webpage as a channel in the browser, and uses the channel definition format CDF (Channel Definition Format) Create files that specify which web pages make up a channel and how the pages are organized. When you download a CDF file, you become a channel user. Then, the user's browser will use the CDF file to automatically download the corresp...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this technology is that ① it is difficult to meet the personalized requirements of users

The shortcomings of this technology are: lack of detailed analysis of user interests, the information pushed is poorly targeted, and the categories that users are most interested in are not excavated

However, there are many deficiencies in this mode in which users seek information by themselves: 1. Inefficiency, the results returned by Web search are very large, but most of the content is far from the user's demand information, and the recall rate and precision rate of retrieval are low ;2. The timeliness is poor. When the server has instant updated information, the user cannot obtain it at the first time; 3. The user is required to have professional information retrieval technology. If the user wants to obtain accurate relevant information, he must be able to accurately represent himself information needs, which restricts users' ability to obtain information

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