Method and device for determining search word weight value, method and device for generating search results

Abstract

The application discloses a method for determining a weighted value of search term and a method and a device for generating search results. The method for determining the search term weighted value comprises the following steps of: receiving a search request and click information input by a user to generate a search information log and saving the search information log into a database; counting the search information log saved in the database to generate a category distribution word list; extracting an attribute word list from the database and optimizing the category distribution word list and optimizing the category distribution word list; and calculating the weighted value of each search word in the category distribution word list according to the optimized category distribution word list. By applying the technical scheme, the importance of each search term in a search request input by the user can be determined more reasonably when the user searches, thus the search time of the user is shortened.

Description

technical field [0001] The present application relates to the field of computer applications, in particular to a method and device for determining the weight value of a search term, and a method and device for generating search results. Background technique [0002] The information search system is a system that can provide users with information retrieval services. Taking the search engine commonly used in the Internet as an example, as a search system applied in the Internet field, the search engine has become one of the indispensable auxiliary tools for users to surf the Internet. . From the user's point of view, a search engine generally provides a page with a search box. The user enters a query string in the search box, and after submitting it to the search engine through the browser, the search engine will return information that matches the content of the query string entered by the user. . [0003] A search request entered by a user may consist of one or more searc...

AI Technical Summary

Problems solved by technology

[0005] Through the research on the prior art, the inventor found that the existing problems in determining the importance of each search word by word frequency in the prior art are: firstly, a large number of noise words will be included in the word frequency statistics, which will affect the statistical results; secondly, according to the historical search The information counts word frequency, which makes it easy to ignore the search words with few queries but valuable ones

This leads to the unreasonable ranking of the search results by the importance of each search term obtained by using the existing technology, which increases the user's query time, and even causes the user to re-enter the search term to search, which increases the burden on the server and energy consumption

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