Pull-Type Search System for Dynamic Deal Binning
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Solution Overview
Problem
Existing deal searching systems fail to effectively present alternative deals to users when no deals match their selected search criteria, lacking a comprehensive and efficient navigation mechanism to identify suitable deals based on user profiles and available deals.
Innovation Solution
A pull-type searching system that communicates ordered selectable search criteria, including categories, subcategories, and deal types, to users, allowing for keyword-based searches and dynamic binning to arrange deals based on user profiles and preferences, thereby presenting relevant deals even when exact matches are not found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system performs exact matching of search criteria against deals database, then search precision is improved, but the system fails to present alternative deals when no exact matches are found, reducing adaptability
Solution Approach 1:
The system dynamically adjusts search behavior based on results. When exact matches are found, it performs precise matching; when no matches are found, it automatically transitions to presenting alternative deals with different criteria, making the search process adaptable to different scenarios
Solution Approach 2:
The system changes search parameters dynamically. When no exact matches are found, it modifies search criteria to present alternatives, such as relaxing category constraints or suggesting related deal types, thereby maintaining adaptability while preserving search precision for exact matches
2Adaptability or versatility
If the system presents comprehensive alternative deals when no exact matches are found, then adaptability is improved, but the complexity of the search interface and result presentation increases
Solution Approach 1:
The system segments alternative deal presentation into distinct categories and groups. Instead of presenting all alternatives uniformly, it organizes them by deal type, category, or relevance, reducing interface complexity while maintaining comprehensive adaptability
Solution Approach 2:
The system introduces an intermediary layer that automatically processes and organizes alternative deals before presentation. This intermediary component filters, ranks, and groups alternatives based on user profile and search context, simplifying the interface while preserving comprehensive alternative presentation
3Measurement precision
If the system uses dynamic binning to arrange deals based on user profiles, then the relevance of presented deals is improved, but the computational processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing deal data according to user profiles before actual search execution. User preferences and historical behavior are pre-analyzed to create personalized deal categories, reducing real-time processing requirements while maintaining high relevance
Solution Approach 2:
The system implements self-service mechanisms where user profiles automatically update based on interaction history, and deal arrangements adapt without requiring intensive real-time computation. The system learns from user behavior patterns to improve deal relevance over time with minimal additional processing
Data Source
AI summary
The pull-type searching system provides an effective and efficient way to navigate deals and assist the user in identifying a deal for selection. The pull-type searching system further enables identification of one or more alternative deals to present to the user when no deals are identified for the selected search criteria. The pull-type searching system includes a method and apparatus. The method includes communicating ordered selectable search criteria, the search criteria including one or more categories, subcategories and deal types based on a user profile or available deals, or redemption goals. The method further includes receiving a selection from the search criteria and searching a deals database for results associated with the selection. Further, the method includes communicating the results associated with the selection, one or more alternative categories, or one or more alternative deals. A similar apparatus is provided.