8. A dynamic data acquiring system, comprising: at least one processor configured to: extract a search term from a search request string that is received; look 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; detect a change in the characteristic factors, comprising to: update the dynamic threshold score based on the changed characteristic factors; and store the updated dynamic threshold score in the threshold value dictionary; use 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; acquire data information corresponding to the search term based on the index information in the index data table; and send the data information to be displayed in a page of a web site; and a memory coupled to the at least one processor and configured to provide the at least one processor with instructions.
8. A dynamic data acquiring system, comprising: at least one processor configured to: extract a search term from a search request string that is received; look 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; detect a change in the characteristic factors, comprising to: update the dynamic threshold score based on the changed characteristic factors; and store the updated dynamic threshold score in the threshold value dictionary; use 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; acquire data information corresponding to the search term based on the index information in the index data table; and send the data information to be displayed in a page of a web site; and a memory coupled to the at least one processor and configured to provide the at least one processor with instructions. 14. The system as described in claim 8 , wherein the at least one processor is further configured to: establish the index data table, comprising: acquire a keyword and a textual characteristic factor of each piece of the data information bound to the keyword from a bid management server or a log dictionary; perform a threshold value calculation based on the textual characteristic factor to acquire one or more threshold scores corresponding to each keyword; save the keywords and the one or more threshold scores corresponding to each keyword to a threshold value database.