Information retrieval based on semantic patterns of queries

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.

A computer program product for inferring a characteristic of an individual, the computer program product being embodied in a tangible non-transitory computer readable storage medium and comprising computer instructions for:

• pre-processing 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 the number of times the 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
• processing 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.