9. An information retrieval system, comprising: one or more processors configured to: pre-process a set of historical query information, comprising: determining a plurality of semantic patterns based on a plurality of queries in the set of historical query information, wherein the determining of the plurality of semantic patterns comprises: determining whether a number of times a sematic pattern appears in the set of historical query information exceeds a predetermined threshold; and in the event that a number of times a sematic pattern appears in the set of historical query information exceeds the predetermined threshold, selecting the semantic pattern; establishing correspondence relationships between the plurality of semantic patterns and a plurality of filtering and ranking operations, wherein establishing correspondence relationships comprises: determining user behaviors corresponding to the plurality of semantic patterns based on the set of historical query information; determining a plurality of user intention attributes of the plurality of semantic patterns based on the user behaviors, wherein the plurality of user intention attributes include a degree of ambiguity attribute, an authority requirement attribute, a time efficiency requirement attribute, a location requirement attribute, a volume attribute, or any combination thereof; determining the plurality of filtering and ranking operations based on the plurality of user intention attributes; and storing correspondence relationships between the plurality of filtering and ranking operations and semantic patterns based on the user behavior sets and user intention attributes; and process a user query made by a user, comprising: receiving the user query; retrieving a plurality of results in response to the user query; determining a semantic pattern that corresponds to the user query; determining a set of filtering and ranking operations that corresponds to the semantic pattern based on the correspondence relationships that are established during the pre-processing; and performing the set of filtering and ranking operations on the plurality of results to generate a set of filtered and ranked results; and one or more memories coupled to the processors, configured to provide the processors with instructions.
9. An information retrieval system, comprising: one or more processors configured to: pre-process a set of historical query information, comprising: determining a plurality of semantic patterns based on a plurality of queries in the set of historical query information, wherein the determining of the plurality of semantic patterns comprises: determining whether a number of times a sematic pattern appears in the set of historical query information exceeds a predetermined threshold; and in the event that a number of times a sematic pattern appears in the set of historical query information exceeds the predetermined threshold, selecting the semantic pattern; establishing correspondence relationships between the plurality of semantic patterns and a plurality of filtering and ranking operations, wherein establishing correspondence relationships comprises: determining user behaviors corresponding to the plurality of semantic patterns based on the set of historical query information; determining a plurality of user intention attributes of the plurality of semantic patterns based on the user behaviors, wherein the plurality of user intention attributes include a degree of ambiguity attribute, an authority requirement attribute, a time efficiency requirement attribute, a location requirement attribute, a volume attribute, or any combination thereof; determining the plurality of filtering and ranking operations based on the plurality of user intention attributes; and storing correspondence relationships between the plurality of filtering and ranking operations and semantic patterns based on the user behavior sets and user intention attributes; and process a user query made by a user, comprising: receiving the user query; retrieving a plurality of results in response to the user query; determining a semantic pattern that corresponds to the user query; determining a set of filtering and ranking operations that corresponds to the semantic pattern based on the correspondence relationships that are established during the pre-processing; and performing the set of filtering and ranking operations on the plurality of results to generate a set of filtered and ranked results; and one or more memories coupled to the processors, configured to provide the processors with instructions. 14. The system of claim 9 , wherein the plurality of user intention attributes include a time efficiency requirement attribute.