Intelligent Filter Sequencing for Online Shopping Navigation
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Solution Overview
Problem
Conventional online shopping platforms overwhelm users with excessive search results and filter options, leading to low engagement rates due to cognitive overload and difficulty in navigating attribute filters, especially on mobile devices.
Innovation Solution
A computer-implemented system that receives a search query, generates a listing of related products, ranks them, determines a product type, and creates an intelligent filter sequence based on historical data to display filters sequentially, allowing users to select attributes and narrow results efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional online shopping platforms display all attribute filters at once, then users have access to all filtering options, but users experience cognitive overload and low engagement rates
Solution Approach 1:
The patent segments the filter options into multiple pages or sections, displaying only a subset of filters at a time. This segmentation reduces cognitive overload by presenting information in manageable chunks while maintaining access to all filtering options through navigation mechanisms.
Solution Approach 2:
The system performs preliminary action by pre-organizing filters into sequences or categories based on user behavior patterns and product types. This allows the system to anticipate user needs and present relevant filters in a predetermined order, improving engagement while maintaining comprehensive filtering capability.
2Adaptability or versatility
If the system displays a large quantity of search results, then users have more product options, but users experience overwhelming information and difficulty in navigation
Solution Approach 1:
The patent segments search results into multiple pages or sections, displaying a manageable number of products at a time. This segmentation maintains comprehensive product availability while reducing information overload by presenting results in organized, navigable units.
Solution Approach 2:
The system dynamically adjusts the number and arrangement of displayed results based on user interactions, search history, and product characteristics. This dynamic adaptation allows the system to optimize information presentation for each user context while maintaining comprehensive search capability.
3Measurement precision
If the system provides extensive filter attributes, then users can narrow search results precisely, but users experience cognitive load and difficulty in understanding filter importance
Solution Approach 1:
The patent applies local quality by prioritizing and highlighting filters that are most relevant to the current search context and product type. Not all filters are treated equally; instead, the system identifies and emphasizes locally important attributes while maintaining access to less critical filters, thereby reducing cognitive load while preserving search precision.
Solution Approach 2:
The system incorporates feedback mechanisms that show users which filters are most commonly used and most effective for their search queries. This feedback helps users understand filter importance and makes navigation more intuitive, reducing cognitive load while maintaining precise search capability.
4Adaptability or versatility
If the system displays all filter options on mobile platforms, then users have complete filtering capability, but users experience space constraints and difficulty in finding filters
Solution Approach 1:
The patent segments filter options into collapsible sections or a pull-to-load mechanism, displaying only essential filters initially and providing access to additional filters through user interaction. This segmentation maintains complete filtering capability while adapting to mobile space constraints and improving filter accessibility.
Solution Approach 2:
The system transitions from a two-dimensional display of all filters to a multi-dimensional interaction model where filters can be collapsed, expanded, or accessed through side panels and pull gestures. This dimensional change allows comprehensive filtering capability to coexist with mobile device space constraints.
Data Source
AI summary
One aspect of the present disclosure is directed to a computer-implemented method for streamlined product searching. The method may include receiving a search query comprising at least one keyword; generating a listing of related products based on the keyword; ranking each related product based on applicability; determining a product type of at least the highest ranking related product; determining a filter sequence associated with the product type; generating a first record comprising the filter sequence; instantiating a second record of selected attributes; displaying a first filter in the filter sequence; receiving a first selected attribute from the first filter; displaying the second filter; receiving a second selected attribute from the second filter; and displaying a listing of products associated with the selected attributes in the second record.