Personalized Data Summarization Interface
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Solution Overview
Problem
Summarizing and personalizing large sets of complex data related to price and product information poses challenges in selecting and refining information, identifying patterns, and arranging it in a user-friendly manner for a computer user interface.
Innovation Solution
The development of a user interface routine that allows users to select brands, competitors, and product categories, utilizing color coding to differentiate information types and performing processes such as creating user home items, lists, alerts, reports, and recommendations, which are integrated with data analysis to provide insights and personalized dashboards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If large sets of complex data are collected and analyzed, then the quantity and depth of information increase, but the complexity of selecting, refining, and organizing the information increases
Solution Approach 1:
The patent segments the large complex dataset into multiple dimensions including product information, price information, product attributes, and price attributes. This segmentation allows the system to process and analyze different types of data separately, reducing the overall complexity while maintaining the ability to handle large quantities of information through structured organization.
2Measurement precision
If comprehensive data analysis is performed, then the accuracy of insights improves, but the time required for processing increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing data into structured dimensions (product, price, attributes) before actual analysis occurs. This preliminary structuring enables faster retrieval and processing during user queries, maintaining high accuracy while reducing processing time through advance preparation of the data framework.
3Loss of information
If detailed information is provided to users, then the completeness of information increases, but the ease of operation decreases
Solution Approach 1:
The patent applies local quality by providing different levels of information detail to different users based on their specific needs and preferences. The system allows users to customize their views and select which dimensions of data they want to see in detail, ensuring that each user receives complete information relevant to their context while maintaining ease of operation through personalized interfaces.
Data Source
AI summary
One or more non-transitory computer-readable storage media are presented. In embodiments, the one or media may comprise a plurality of instructions that in response to being executed cause a computer to: receive, via a user interface, a user selection including a product, and a brand, vendor and category associated with the product; access a set of product information that includes information regarding the selected product, the set of product information including a set of products, and for each product in the set: a price, one or more brands under which the product is sold, a set of vendors offering it for sale, a categorization schema and a set of analysis results; and display to the user, via the user interface, a first analysis result from the set of analysis results for the selected product.