User customized database retrieval method with data collection function

Abstract

The invention provides a user customized database retrieval method with a data collection function. The method comprises a keyword classification module, a synonym module, a keyword sorting module and a database, wherein the keyword classification module is provided with a data retrieval box and a keyword box; the keyword classification module performs keyword analysis and classification on data information input to the data retrieval box by a client and then outputs the analyzed and classified keywords to the keyword box; the synonym module is provided with a synonym box; the synonym module performs synonym analysis on the keywords in the keyword box; the keyword sorting module is provided with a data recombination box, a data collection module and a network server; the network server performs processing on data of the data collection module and records habits of the client; the database is provided with an output end; and the output end is used for feeding back information needed by the client to the client and recommending targeted advertisements to the client.

Description

technical field [0001] The invention relates to a data analysis system, in particular to a user-selected database retrieval method with data collection. Background technique [0002] The most common technology for information retrieval is a search engine. Internet users usually use a search engine to grab web pages from the Internet, build an index database, and then search and sort from the index database. The user takes a set of keywords as a query condition, and the search engine returns a list of related file types as a result. The search engine actually searches a pre-organized related web page index database, which collects hundreds of millions of web pages on the Internet. Index each keyword of the webpage to establish a webpage index database. After sorting through a complex algorithm, calculate the relevance of all relevant webpages for the keyword, and arrange the query results in order according to their relevance to the search keyword. The higher the ranking, th...

AI Technical Summary

Problems solved by technology

[0003] When customers enter information, there is only one input box, but not every customer has a complete understanding of the information they need to search, maybe they only know a vague concept and cannot express their meaning accurately; for example, customers in When searching for concept comparisons of similar knowledge points, ordinary search is to list them all for customers to choose. If the customer wants to compare the differences between two similar knowledge points, then the focus of the search is the difference. If the customer wants to know one of the two similar knowledge points, then the key point is a certain knowledge point; but such an accurate search cannot be achieved in the current search, only a vague search and let the customer search among many choices ; and now the advertising related to the search engine is also vaguely promoted through the customer's search information

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