Search method of real-time vertical search engine for security industry

Abstract

The invention relates to a search method of a real-time vertical search engine for a security industry. The search method comprises performing high-frequency directional fetching on news web pages through a server; performing formatting processing on news content of the fetched news web pages; performing evaluation calculation on the relevance of the formatted news content and relevant keywords and the influence on the public of the news content; storing results into a database and calculating weights of the search results according to multiple parameters and sorting and displaying the search results through a system when users search data. Accordingly, the passive synchronization of the search engine information and an information source can be achieved and the problems that the general search engine by the traditional search method is poor in timeliness and repeated in information are solved; the directional collection is only performed on an industry representative financial news release source of the Internet and accordingly the efficiency is high and the search results are timely and accurate; in addition, the search method is combined with a public opinion analysis technology and accordingly the search results can be sorted in multiple modes and the display effect is humanized.

Description

technical field [0001] The invention relates to the technical field of Internet search engines, in particular to a search method for a real-time vertical search engine aimed at the securities industry. Background technique [0002] At present, mainstream search engines on the Internet have a high coverage rate and a large amount of data. However, due to various technical reasons, the information search of the securities industry, which is extremely time-sensitive, cannot be time-sensitive and synchronized. [0003] Although there are several vertical search engines that claim to be oriented to the securities industry, these search engines are only the in-site search of a certain portal website, far from meeting the requirements of industry search. And some financial news aggregation websites do not have standard search engine functions. [0004] The securities industry has extremely high requirements on the timeliness of news information. For example, if A website publish...

AI Technical Summary

Problems solved by technology

[0007] On the one hand, the lag of information index seriously affects the practicability and timeliness of search engines;

[0008] The second is that the same news is often forwarded on multiple websites, but the current general search engine technology does not filter similar articles, often resulting in the same information being indexed multiple times, and multiple search results with the same content and different URLs are displayed, seriously affect user experience;

[0009] The third is that the current search engine technology news search can only be sorted according to time or keyword correlation, and fails to use public opinion analysis technology to set an influence evaluation value for a certain piece of news information, which may cause users to miss some of the listing. The company's far-reaching news or announcements may cause users to be influenced by a large number of irrelevant news to research and judge investment products

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