Interactive Browsable Content Items Using N-Dimensional Pivot Points
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Solution Overview
Problem
Current shopping experiences on networks, such as the Internet, fail to seamlessly integrate searching and browsing functionalities, often limiting users to either searching for specific products or browsing through filters, which can exclude similar yet preferred products.
Innovation Solution
The implementation of interactive browsable content items that utilize pivot points in an n-dimensional space of products, allowing users to navigate and explore similar products through touch inputs like pinching and swiping, while selecting pivot points and subsets based on dimensional distance, bid amounts, and probability exploration rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users are limited to searching for specific products or browsing through filters, then the searching function is efficient, but the browsing function excludes similar yet preferred products
Solution Approach 1:
The patent transforms the traditional linear search/browse interface into an n-dimensional product space where products are positioned based on multiple attributes simultaneously. Users can navigate this dimensional space by selecting pivot points and exploring products along different dimensions, enabling discovery of similar products that would be excluded by traditional filter-based browsing while maintaining intuitive touch-based interaction.
2Measurement precision
If traditional filter-based browsing is used, then product selection is precise, but similar products are excluded
Solution Approach 1:
The patent segments the product space into multiple dimensions, each representing a different product attribute. Instead of applying rigid filters that exclude products, the system divides the product space into regions around pivot points, allowing users to explore products that are similar across multiple dimensions simultaneously. This segmentation enables both precise matching and discovery of varied products.
Solution Approach 2:
The system changes the parameters of product presentation from binary filter inclusion/exclusion to continuous dimensional positioning. Products are represented by their coordinates in n-dimensional space, allowing users to explore products based on degree of similarity rather than strict filter criteria. This parameter transformation enables both precision and versatility in product exploration.
3Measurement precision
If pivot points are selected based on dimensional distance, then product representation is accurate, but computational complexity increases
Solution Approach 1:
Instead of calculating all possible product distances in the n-dimensional space, the system selects a limited number of pivot points that represent key regions of the product space. This partial action approach provides accurate product representation without the computational burden of exhaustive distance calculations for all products, balancing precision with complexity.
Data Source
AI summary
Interactive browsable content items can be used to browse and explore through content items responsive to a search query. A content item selection system can receive a search query and generate a result set identifying a plurality of products that define an n-dimensional space of the products. Pivot points are selected for the n-dimensional space to provide distinct products representative of the entire n-dimensional space. The pivot points are displayed in the interactive browsable content item on the client device. A subset of similar products are selected from the n-dimensional space of products responsive to the selection of a pivot point and displayed on the client device. Responsive to a zoom out touch input, a new set of pivot points are selected based on the prior selected pivot point.