1. A dynamic data acquisition method, comprising: extracting a search term from a search request string that is received; looking up the search term in a threshold value dictionary to acquire a dynamic threshold score corresponding to the search term, wherein the dynamic threshold score varies based on characteristic factors, wherein the characteristic factors include a textual characteristic factor for the search term and a data analysis characteristic factor for the search term, the textual characteristic factor and the data analysis characteristic factor being stored in a log dictionary; and wherein the dynamic threshold score relates to a correlation of the search term and a product, wherein the dynamic threshold score is calculated by: performing a first fitting calculation based on the textual characteristic factor for the search term to obtain a first threshold score; performing a second fitting calculation based on the data analysis characteristic factor for the search term to obtain a second threshold score; and performing a third fitting calculation based on the first threshold score and the second threshold score to obtain the dynamic threshold score; detecting a change in the characteristic factors, comprising: updating the dynamic threshold score based on the changed characteristic factors; and storing the updated dynamic threshold score in the threshold value dictionary; using the search term as a query condition and the updated dynamic threshold score corresponding to the search term as a filter condition to acquire, in an index data table, one or more corresponding pieces of index information; acquiring data information corresponding to the search term based on the index information in the index data table; and sending the data information to be displayed in a page of a website.
1. A dynamic data acquisition method, comprising: extracting a search term from a search request string that is received; looking up the search term in a threshold value dictionary to acquire a dynamic threshold score corresponding to the search term, wherein the dynamic threshold score varies based on characteristic factors, wherein the characteristic factors include a textual characteristic factor for the search term and a data analysis characteristic factor for the search term, the textual characteristic factor and the data analysis characteristic factor being stored in a log dictionary; and wherein the dynamic threshold score relates to a correlation of the search term and a product, wherein the dynamic threshold score is calculated by: performing a first fitting calculation based on the textual characteristic factor for the search term to obtain a first threshold score; performing a second fitting calculation based on the data analysis characteristic factor for the search term to obtain a second threshold score; and performing a third fitting calculation based on the first threshold score and the second threshold score to obtain the dynamic threshold score; detecting a change in the characteristic factors, comprising: updating the dynamic threshold score based on the changed characteristic factors; and storing the updated dynamic threshold score in the threshold value dictionary; using the search term as a query condition and the updated dynamic threshold score corresponding to the search term as a filter condition to acquire, in an index data table, one or more corresponding pieces of index information; acquiring data information corresponding to the search term based on the index information in the index data table; and sending the data information to be displayed in a page of a website. 18. The method as described in claim 1 , wherein the textual characteristic factor includes textual information matching parameters for search terms, products, or both.