Category Overlap Filtering for Item Recommendations
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Solution Overview
Problem
The redundancy in presenting information across different categories hinders users' ability to efficiently locate and access relevant information, as they encounter the same items multiple times, leading to frustration and reduced effectiveness in navigating user interfaces with limited display space.
Innovation Solution
Implementing computer-implemented processes to selectively filter out overlapping item categories, reducing redundancy by generating and presenting a subset of categories that collectively contain less redundancy, using techniques such as overlap scoring and category filtering to eliminate egregious overlap while preserving access to high-interest items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If information is organized into multiple categories to facilitate user navigation, then user access to relevant information is improved, but redundancy between categories increases causing user frustration and reduced efficiency
Solution Approach 1:
The patent segments the set of categories into multiple groups based on overlap characteristics. Categories with high overlap are separated into different groups, so that when the system selects one category to display, it avoids showing highly redundant categories together. This segmentation allows the system to manage and control redundancy by strategically selecting from different segments.
Solution Approach 2:
The patent changes the parameter of category selection by introducing an overlap metric. The system calculates overlap between categories and uses this parameter to guide selection decisions. By dynamically adjusting which categories are selected based on their overlap parameters, the system reduces redundant information presentation while maintaining comprehensive coverage.
2Loss of information
If all categories are presented to users to ensure complete coverage, then information completeness is improved, but navigation complexity and time increase
Solution Approach 1:
The patent applies partial action by selecting only a subset of categories for presentation rather than showing all available categories. The system determines that presenting a carefully selected portion of categories (those with low overlap) is sufficient to maintain information completeness while significantly reducing navigation time and user effort.
Solution Approach 2:
The patent replaces the manual mechanical process of user navigation through multiple categories with an automated computational system. The system automatically calculates category overlaps, selects optimal categories, and presents them to users, substituting the manual navigation mechanism with an intelligent selection algorithm that reduces time loss.
3Area of stationary object
If limited display space is used to show categories, then interface simplicity is improved, but the ability to show diverse categories is reduced
Solution Approach 1:
The patent merges the functions of multiple overlapping categories into a single selected category for display. By identifying categories with high overlap and selecting one representative category, the system consolidates redundant information sources, allowing diverse category coverage within limited display space without sacrificing adaptability.
Data Source
AI summary
A computer-implemented process for reducing category overlap obtains a set of source items and an initial set of item categories associated with the source items. An assessment of the overlap between different item categories in the initial set of item categories is used to selectively eliminate one or more item categories prior to presentation of the source items and associated categories to the user, thereby resulting in reduced overlap between the item categories presented. The resulting set of categories improves the ability of the user to efficiently and effectively access source items of interest, such as recommended items generated by a recommendation engine.


