Search method and device based on query word

Abstract

The invention provides a search method and device based on a query word. The method comprises the following steps: searching a query word which is input by a user through a client, and selecting a search engine suitable for the query word from multiple search engines by combining the query word with a query word attribute library, wherein the query word attribute library is used for characterizing the correlativity between each query word or query word class and each search engine; and acquiring the search result information of the selected search engine, processing the search result information and displaying the processed search result information. In the invention, when multiple search engines exist, by means of carrying out intention comprehension and analysis on the query word of the user, the search engine related to the search user requirement can be selected or the search engine with higher accuracy can be searched based on the intention of the user, and pertinent link search is carried out, thus the system efficiency can be improved, and the search accuracy of the user is also increased.

Description

technical field [0001] The invention relates to an Internet information search method and tool, in particular to a search method and search device based on query words. Background technique [0002] With the development of network technology, search engines have been continuously improved, and various information can be obtained from the Internet through search engines. Search engines are one of the main ways that the current Internet helps users obtain information quickly. The user submits a query word (Query) to the search engine, and the search engine returns to the user search results related to the query word, and these results are arranged from high to low related to the query word. [0003] Existing search engine technology can be roughly divided into two kinds. Traditional search engines use web crawlers to crawl web pages from the Internet, build indexes, and provide users with query services, represented by web search by Baidu and Google. A vertical search engin...

AI Technical Summary

Problems solved by technology

No matter which search engine is, it is impossible to crawl all the content of the Internet, so each search engine usually indexes a subset of the entire Internet; in addition, traditional web crawlers crawl based on links between web pages. Pages without links are difficult to crawl; finally, traditional search engines need a certain period of time to crawl, index, and provide query services, and cannot update most content in real time

[0005] At the same time, a search engine may not be able to meet all the search needs of all or one person

In some cases, in order to obtain more comprehensive and accurate search results, people need to use multiple search engines to search, and obtain search results by comparing and filtering the search results, but the operation is cumbersome and reduces search efficiency , which also increases the difficulty of searching

[0006] Further, for candidate multiple search engines, it is not advisable to select all such candidate engines to query and return the results (the search time will be greatly lengthened), and there will be some engines that have a better understanding of the clothing category words. As a result, the effect on commodity words of electronic products will be relatively poor, which makes the search results unable to better meet user needs, that is, the accuracy is reduced

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