Dynamic Item Comparison System Using User Behavior Data
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Solution Overview
Problem
Consumers face difficulties in comparing items online due to the need to visit multiple sources and navigate through extensive, often biased, comparison tables that require pre-identification of comparable items, lacking relevance and prioritization of distinguishing attributes.
Innovation Solution
A computer-implemented method and system that automatically generates item comparisons by recording user interactions and data on comparable items, prioritizing attributes based on user activity, and presenting relevant items for comparison, allowing users to request comparisons without prior knowledge of comparable items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If consumers visit multiple information sources to obtain information on different items, then they can gather comprehensive data for comparison, but the time and effort required increases significantly
Solution Approach 1:
The patent combines multiple information sources and comparison functions into a single integrated system. The server consolidates item data from various merchants and sources, then presents unified comparison tables to consumers, eliminating the need to visit multiple separate websites while maintaining comprehensive information availability.
Solution Approach 2:
The system performs preliminary actions by pre-identifying and pre-comparing items before the consumer requests comparison. The server automatically identifies comparable items based on category and attributes, and prepares comparison data in advance, so when a consumer requests comparison, the work is already done or nearly done.
2Ease of operation
If consumers are required to specify items to compare, then the comparison is tailored to their needs, but they must already know which items are comparable
Solution Approach 1:
The system performs self-service by automatically identifying comparable items without requiring consumer input. When a consumer views an item, the server autonomously identifies other items in the same category with comparable attributes and presents them for comparison, eliminating the need for the consumer to have prior knowledge of what is comparable.
Solution Approach 2:
The server acts as an intermediary between the consumer and the items. Instead of the consumer directly identifying comparable items, the server mediates by receiving the consumer's item selection, automatically identifying comparable items based on category and attribute analysis, and presenting the comparison results.
3Ease of operation
If merchants arrange comparison tables with attributes in their self-interest, then they can control the presentation, but the attributes may not truly distinguish the items or be important to the consumer
Solution Approach 1:
The patent inverts the traditional approach by having the server determine attribute importance rather than the merchant. Instead of merchants selecting attributes that favor their products, the system analyzes consumer behavior data to identify which attributes consumers actually care about, then presents those attributes in the comparison tables, reversing the control from merchant-self-interest to consumer-interest.
Solution Approach 2:
The system uses feedback from consumer behavior data to dynamically adjust which attributes are displayed and how they are weighted in comparisons. By monitoring which attributes consumers view, compare, and use in decision-making, the server refines its attribute selection to reflect actual consumer priorities rather than merchant preferences.
4Productivity
If prearranged comparison tables are generated and stored by selling parties, then comparisons are readily available, but the tables are static and possibly biased
Solution Approach 1:
The patent transforms static prearranged comparison tables into dynamic, on-demand comparisons. Instead of merchants creating fixed comparison tables in advance, the system generates comparisons dynamically at the moment of consumer request, based on real-time analysis of the specific item viewed and consumer behavior patterns, ensuring both speed and relevance.
Data Source
AI summary
A method and system for producing an item comparison may initially include obtaining data based on user activity that is indicative of an item and other items likely to be comparable to the item, and recording the data for later access. An item comparison may thereafter present an item of interest to the user along with other items identified based on the recorded data. Prior to producing the item comparison, the user may be provided at least one list of potentially comparable items that can be selected for the item comparison, the list including items in the recorded data that are likely to be comparable to the item of interest. The recorded data may be specific to the user or may include data obtained from other users. Data reflecting user activity with an item comparison may be recorded as additional data indicative of comparable items.