Content Relevance Weighting via Location Feedback
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Solution Overview
Problem
Existing content delivery systems lack the ability to adjust relevance weighting for a group of users with shared profile attributes based on both active and passive user responses, and they do not effectively rank content based on user location.
Innovation Solution
A system and method that adjusts relevance weight values for content items by using a network to deliver content to wireless devices, where location detection and user feedback are used to add or subtract points from the relevance weight values associated with content items and locations, allowing for dynamic ranking based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content delivery systems use user profile information and passive responses to adjust relevance weighting, then content relevance can be improved, but the system cannot effectively adjust relevance for groups of users with shared attributes based on both active and passive responses
Solution Approach 1:
The system segments users into groups based on shared profile attributes (e.g., location, demographics) and applies differential relevance weighting to content items for different user groups. This allows the system to maintain precise relevance measurement for individuals while extending adaptability to group-level adjustments through attribute-based clustering and targeted content delivery.
2Measurement precision
If content delivery systems do not effectively rank content based on user location, then system complexity is reduced, but location-specific content relevance is lost
Solution Approach 1:
The system introduces location as an intermediary attribute that mediates between content items and users. Location data serves as a bridge to determine relevance weighting, enabling location-specific content ranking without requiring complex real-time analysis. The location-based relevance adjustment acts as an intermediary layer that simplifies the overall system architecture while achieving precise location-aware content delivery.
Data Source
AI summary
A system for adjusting a relevance weight value for a content item is described. The system comprises a content delivery module configured to deliver a plurality of content items to a device via a network. The content items are displayed on the device. A content storage module is configured to store a relevance weight value and a location in association with each content item. A location detection module is configured to determine a location of the wireless device. A user provides a feedback input for a content item. The relevance weight value associated with the location and the content item is adjusted according to the feedback input provided.


