Method and system for constructing quick and accurate Internet of things and Internet search engine according to group requirement characteristics

Abstract

The invention discloses a method for constructing a quick and accurate Internet of things and Internet search engine according to group requirement characteristics. The search engine is provided with a characteristic identification detector for each search engine client user, and the identification detector and a matched requirement characteristic bit class group structure database corresponding to user characteristics at a server are taken as bottom support, so that an intelligent search method for identifying different requirement tendency characteristics of a target population grouped according to different classes, and approaching and meeting requirement tendency accordingly is provided. A stronger and more effective optimized database structure special for the search engine is used for supporting a framework, and a synergic method for acquiring the characteristic identification detector and the support database of each client user by using the search engine is provided. Specifically, a plurality of requirement implicit tendency characteristic extraction search boxes which are displayed in groups are arranged on a client user interface, so a searcher can search in different groups of search boxes, and search pertinence is greatly enhanced.

Description

technical field [0001] The invention belongs to the technical field of computers and the Internet, in particular to a method for extracting implicit tendency characteristics of group needs to establish a search engine. Background technique [0002] With the rapid development of the network, the resources on the network are becoming more and more abundant, and the network has gradually become the first choice for many people to obtain information. According to estimates by relevant foreign agencies, there are at least 350 million pages on the Internet, and new sites and pages are added every day. [0003] The Internet of Things proposed in 1999 is to connect all items to the Internet through radio frequency identification and other information sensing devices to realize intelligent identification and management. The authoritative consulting organization FORRESTER predicts that by 2020, the business of the Internet of Things in the world will be 30 to 1 compared with the busi...

AI Technical Summary

Problems solved by technology

[0006] The search method of the above-mentioned known search engine has the following deficiencies: lack of means to know what kind of person each person sitting behind the client screen is, especially what his demand tendencies are, which makes the known search engine blindfolded. The nature of the search, blindly piles up the same results for the whole world on the searcher, resulting in a considerable degree of "non-answer" and information redundancy

This starting point is very good, but there is a gap between the effect and good wishes: ①For the vast majority of non-professional customers, it is often more effective to determine which search engine to use to search which content is more effective than spending more time on It is more difficult to find the basic available information with the naked eye in a large number of plausible search results. Even if a choice is made, most of them are selected blindly; The homogeneity and similarity in terms of information acquisition technology and search algorithm are relatively poor - using more than a dozen different search engines for the search topic of "6-year-old children's cold medicine", the comparison results (all take the first The 10 search results displayed on the page are the comparison objects) are: the first page of the world-renowned search engine displays 10 results, all of which are suggestive articles, which are far from the actual needs of searching for cold medicine for 6-year-old children; the second most famous search The first page of the engine displays 10 results, 9 of which are comments with different titles but the same content (not applicable to actual search needs), and the 2nd one is a netizen's personal basic information, which is fake; the rest of the search The results provided by the engines are also similar. It is difficult to be recognized for the degree of satisfaction of the search requirements, especially the matching degree of the search goals, and the search speed of some search engines.

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