Dynamic Content Publishing System for Adaptive Information Retrieval
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Solution Overview
Problem
Information retrieval systems are static and lack dynamic capabilities to adapt to user interactions and context changes, limiting their effectiveness in providing relevant information without requiring users to browse through large volumes of data.
Innovation Solution
A dynamic information retrieval system, referred to as the Dynamic Content Publishing (DCP) system, which generates an import file for a document browser by retrieving and customizing topic content from a content management system, applying filters and metadata, and exporting it into a format like HEDEx, allowing for dynamic content presentation and adaptation based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static IR system processes every query using the same fixed sequence of operations, then the system structure is simple and predictable, but the system cannot adapt to user interactions or context changes, limiting information retrieval effectiveness
Solution Approach 1:
The patent transforms the static IR system into a dynamic one by introducing components that can change their behavior based on user interactions and context. The system now performs different sequences of operations (query formation, evaluation, precision improvement, recall improvement, clustering, visualization) dynamically rather than following a fixed predetermined path, allowing adaptation while managing complexity through modular design
Solution Approach 2:
The system implements feedback mechanisms where user interactions are captured and used to adjust subsequent information retrieval operations. The dynamic nature of the system allows it to learn from user behavior patterns and modify its query processing sequence accordingly, improving effectiveness without requiring complete system redesign
2Reliability
If users need to find relevant information in a large document collection, then comprehensive coverage is achieved, but users must browse through large volumes of data, consuming excessive time and effort
Solution Approach 1:
The system extracts and prioritizes only the most relevant information from large document collections based on user queries and interaction patterns. Through dynamic query evaluation and precision improvement techniques, it extracts relevant documents and information segments, presenting them to users in a condensed format that eliminates the need to browse through irrelevant data volumes
Solution Approach 2:
The patent segments large document collections into manageable units and applies dynamic filtering, clustering, and ranking. By dividing the information space and processing segments dynamically based on user needs, the system maintains comprehensive coverage while reducing the effective search space users must navigate, thereby reducing browsing time
Data Source
AI summary
A method comprising receiving a request to create an import file for a document browser from a Personal Document Collection comprising a topic; retrieving a topic content associated with the topic from a content management system (CMS), wherein the topic content comprises a user defined content applied to a master topic content; generating a content page from the topic content, wherein the content page is configured to be displayed within the document browser; generating a navigation structure based on the topic content and the document browser; and compress the content page and the navigation structure into the import file.