User-Specific Query Generation via Profile Data Extraction
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Solution Overview
Problem
Users face inefficiencies in searching databases due to the need to sift through numerous irrelevant results when querying services, especially on constrained devices, as existing systems require significant user input and processing power to filter and refine search queries.
Innovation Solution
A method that utilizes user profiles to refine generic queries into user-specific queries, reducing user involvement and resource usage by applying user profile data to predetermined query statements to generate more targeted queries, thereby minimizing processing power and bandwidth consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user enters detailed options to reduce results, then relevance of results improves, but user time and effort increase
Solution Approach 1:
The system performs preliminary actions by automatically generating user-specific queries from generic queries using user profile data before the user has to manually refine search parameters. This pre-processing of query refinement eliminates the need for users to spend time entering detailed options manually.
Solution Approach 2:
The system enables self-service by automatically generating and refining queries using the user's profile information without requiring manual intervention. The user profile data is automatically applied to generate tailored queries, making the system serve itself rather than requiring continuous user input.
2Measurement precision
If client agent filters results using user profile, then result relevance improves, but processing power and bandwidth consumption increase
Solution Approach 1:
The system performs query refinement in advance by generating user-specific queries before searching the database. This preliminary generation of tailored queries using user profile data prevents the need to process and filter large numbers of irrelevant results, thereby reducing processing power and bandwidth consumption.
Solution Approach 2:
The system extracts only the necessary user-specific parameters from the user profile that are relevant to the current generic query. By selecting and applying only the pertinent profile data points, the system avoids unnecessary processing while still achieving personalized query refinement.
3Ease of operation
If user profile data is automatically applied to queries, then user convenience improves, but device resource consumption increases
Solution Approach 1:
The system extracts only the specific user profile parameters that are relevant to the current generic query rather than applying the entire user profile. This selective extraction minimizes processing requirements while maintaining user convenience by personalizing the query with only necessary information.
Data Source
AI summary
The present invention relates to the field of database technology, and to the automatic generation of search queries. The present invention provides a method of generating a database query, the method comprising: receiving a user selection of one of a number of predetermined generic database queries from a user; automatically identifying user specific data from user profile data corresponding to the user by applying the user profile data to a number of predetermined query statements associated with the selected generic query; automatically applying the user specific data to a number of user specific generator query statements in order to generate one or more user specific queries.