Personalized User Model Search Query Interpretation
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Solution Overview
Problem
Conventional search engines fail to accurately interpret user-specific meanings and connotations in search queries, leading to irrelevant search results due to their inability to understand user-specific terms, abbreviations, and context, especially in mobile computing and location-based searches.
Innovation Solution
A method that maintains a user-specific profile to analyze and interpret search terms, incorporating natural language, semantic, and context analysis to formulate alternative search requests that reflect user-specific meanings, thereby improving search relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional search engines treat user queries as simple keywords, then the search system remains simple and fast to process, but the search results become irrelevant because the system cannot interpret user-specific meanings or connotations
Solution Approach 1:
The system performs preliminary analysis by maintaining a user-specific profile that pre-stores user preferences, behavior patterns, and contextual information. When a search query is received, the system already has pre-computed user characteristics available to immediately enhance the search interpretation, avoiding the need for complex real-time analysis while improving result relevance
Solution Approach 2:
The user-specific profile acts as an intermediary between the simple keyword query and the complex interpretation needed for relevant results. The profile mediates by translating basic search terms into context-enriched queries that reflect user intent, preferences, and historical behavior without requiring the search engine to directly analyze complex user contexts in real-time
2Productivity
If users employ shorthand, abbreviations, and truncated words to speed up searching, then the search input becomes faster and more efficient, but the search system fails to accurately interpret the intended meaning of these abbreviated terms
Solution Approach 1:
The system uses feedback from the user-specific profile, which continuously learns from user interactions and search history. When a user inputs shorthand or abbreviations, the system references past usage patterns stored in the profile to infer the intended meaning, effectively using historical feedback to disambiguate abbreviated terms without requiring users to type full words
Solution Approach 2:
The user-specific profile serves itself by automatically updating and refining its understanding of user preferences and terminology through continuous analysis of user behavior. The system self-adjusts to recognize user-specific abbreviations and shorthand without manual configuration, enabling accurate interpretation of abbreviated search terms while maintaining fast input speed
3Measurement precision
If search systems use public dictionaries and crowd sourcing to resolve search intent, then general search accuracy improves, but the system still cannot determine user-specific meanings or connotations of search terms
Solution Approach 1:
The system applies local quality by creating a personalized user-specific profile for each individual user that captures their unique preferences, behavior patterns, and contextual associations. Instead of applying a uniform public dictionary approach to all users, the system tailors the search interpretation to each user's specific characteristics, enabling recognition of user-specific meanings while maintaining general search accuracy through the base public dictionary
Data Source
AI summary
A method and system for developing a computer-executable query relating to a search request issued by a user includes determining whether a search term of the search request has a user-specific meaning, connotation, context, or association based on an analysis of electronic content associated with the user and/or an analysis of interactions of the user with electronic content that is accessible to the user through one or more computing devices. If the search term has a user-specific meaning, connotation, context, or association, the method and system can incorporate the user-specific meaning, connotation, context, or association into the search request and/or the computer-executable query.