Personalized Query Agent with Pre-processed User Profiles
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Solution Overview
Problem
Conventional search engines lack the ability to provide personalized and relevant information to users based on their specific preferences and profiles, often returning generic results that do not cater to individual user needs.
Innovation Solution
A method and apparatus that retrieve user preferences from a user profile and apply them to multiple search queries, executing these queries across various remote data sources to populate user information sources with tailored results, incorporating natural language processing and user feedback to enhance relevance and timeliness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional search engines provide instant search results, then response speed is improved, but personalization and relevance to user preferences deteriorate
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and updating user profiles with preference information before actual search queries are executed. User preferences are pre-processed and stored in a structured format, enabling rapid personalization of search results without delaying the response time when users actually search.
Solution Approach 2:
The patent introduces an intermediary component - the user profile database - that mediates between the search engine and user queries. This intermediary stores pre-analyzed user preferences and automatically applies them to filter and rank search results, enabling personalization without requiring real-time analysis that would slow down response speed.
2Quantity of substance
If search engines return comprehensive results, then information completeness is improved, but relevance to specific user needs deteriorates
Solution Approach 1:
The system applies local quality by differentiating the treatment of search results based on user-specific preferences stored in their profiles. Instead of uniformly processing all results, the system selectively applies filtering, ranking, and highlighting techniques tailored to each user's demonstrated interests, behaviors, and preferences, thereby enhancing relevance without sacrificing overall information completeness.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting search result parameters such as ranking weights, filtering thresholds, and presentation formats based on user profile data. The system modifies these parameters in real-time according to each user's preferences, enabling the same comprehensive result set to be presented with varying degrees of relevance optimization for different users.
3Productivity
If automated query execution is implemented, then productivity is improved, but system complexity deteriorates
Solution Approach 1:
The system implements self-service by enabling automated query execution that operates autonomously based on pre-configured user profiles and preferences. The automated system monitors information sources, executes searches, and updates user profiles without requiring manual intervention, thereby maintaining high productivity while managing complexity through self-management mechanisms.
Data Source
AI summary
Disclosed are an apparatus and method of processing search query results and providing a user interface application to access the query results. According to one example, the application may be configured to perform retrieving user preferences from memory associated with a user profile of a query agent and applying the user preferences to a number of different search queries used to obtain information of one or more topics associated with the user profile. The method may also include automatically executing the search queries to various different remote data sources and receiving a number of search query results to populate user information sources associated with the user profile and included in a user interface.