Context-Based Document Search Using User Profiles
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Solution Overview
Problem
Document management systems face inefficiencies in text-based searches due to the lack of context, leading to irrelevant results that can cause inaccurate actions and decreased productivity, as they fail to provide results specific to the user's department, history, or current business circumstances.
Innovation Solution
A method that generates refined search results by creating a unique user search profile based on identity, department, and search history, modifying search queries to prioritize relevant documents, and ranking results using contextual factors such as department weight, user history, and quality event weight.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If text-based search is performed on large datasets, then search coverage is improved, but search result relevance deteriorates due to lack of context
Solution Approach 1:
The patent applies local quality by customizing search results according to the user's specific context, including their department, job role, and search history. Instead of providing uniform search results to all users, the system tailors the search query and results to match the individual user's professional context, thereby improving relevance while maintaining comprehensive search coverage across the entire dataset.
Solution Approach 2:
The system changes search parameters dynamically based on user context. It modifies search queries by incorporating department-specific filters, role-based criteria, and historical search patterns. This parameter adjustment allows the search system to maintain broad coverage while filtering for highly relevant results specific to each user's professional context.
2Ease of operation
If general text search is used, then ease of operation is improved, but productivity deteriorates due to inaccurate search results
Solution Approach 1:
The system performs self-service by automatically generating and applying contextual filters based on the user's profile information. Users don't need to manually configure complex search parameters or filters; the system automatically tailors the search based on their department, role, and history, maintaining ease of operation while significantly improving search efficiency and productivity.
Solution Approach 2:
The system performs preliminary action by pre-configuring search parameters based on user profiles before the actual search occurs. User context information is used to pre-filter and prioritize potential search results, so when the user initiates a search, the system already has a tailored framework in place, maintaining simplicity while enhancing productivity.
3Measurement precision
If context-aware search is implemented, then search result relevance is improved, but device complexity increases
Solution Approach 1:
The system achieves universality by using a single user profile data structure to serve multiple functions: it stores user identity information, department affiliation, job role, and search history. This multi-functional profile approach allows the system to provide contextualized search results across different scenarios without requiring separate complex mechanisms for each type of context, thereby managing system complexity while improving relevance.
Solution Approach 2:
The user profile acts as an intermediary between the raw search query and the final search results. Instead of directly analyzing complex user contexts and document metadata together, the system uses the profile as an intermediate layer that pre-processes and organizes user information, simplifying the overall search algorithm while enabling highly relevant contextualized results.
Data Source
AI summary
A method of generating refined search results includes: receiving, from a user, a unique identity associated with the user; generating a unique user search profile based on the unique identity associated with the user; receiving, from the user, a first search query including at least one key term; applying the unique user search profile to the first search query to query one or more databases from a selected plurality of databases to generate a unique user first search query; generating a unique first search result comprising a plurality of first search result documents ranked based on the unique identity associated with the user; and providing the unique first search result to the user.