Presence-Based Content Recommendations via Wireless Signal Detection
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Solution Overview
Problem
Current content and advertising systems lack dynamic user presence-based recommendations and advertising, failing to tailor content and ads to individual viewers in real-time based on their proximity and interaction with devices.
Innovation Solution
A system that uses a home service gateway to detect user presence through wireless signals, generating content recommendations and selecting ads based on user proximity and interaction metrics, integrating with a content delivery network to provide tailored content and ads to users within the experiential range of a primary device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content recommendations are provided based on available content only, then content delivery is simple, but user engagement and relevance are low
Solution Approach 1:
The system performs preliminary user presence detection and device identification before content delivery. The gateway detects wireless signals from user devices and determines user presence in advance, allowing the system to prepare and select appropriate content and advertisements before they are requested, thereby enabling personalized recommendations without adding complex processing during content delivery
Solution Approach 2:
The gateway acts as an intermediary between users and the content delivery system. It intercepts wireless signals from user devices, determines presence information, and uses this information to influence content and advertisement selection. This intermediary role enables personalized content delivery without requiring direct complex interactions between user devices and the content delivery network
2Adaptability or versatility
If advertising is inserted without dynamic selection, then ad delivery is simple, but ad effectiveness and viewer engagement are low
Solution Approach 1:
The system applies different advertisement selections to different local contexts - specifically to different user presence scenarios. When a user device is detected in proximity to the primary device, the system selects advertisements locally tailored to that user's presence and interaction patterns, rather than using uniform ad delivery across all viewers
Solution Approach 2:
The system performs preliminary determination of user presence and device interaction levels before ad selection. By detecting wireless signals and assessing user engagement in advance, the system can pre-select appropriate advertisements that match the user's current context, improving ad effectiveness without requiring real-time complex processing during ad insertion
3Measurement precision
If user presence detection is implemented, then content and ad personalization is improved, but system complexity and processing requirements increase
Solution Approach 1:
User devices automatically provide presence information through their own wireless signal transmissions. The gateway simply detects these self-generated signals from devices like smartphones or tablets, and the devices themselves serve as their own presence indicators. This self-service approach enables accurate presence detection without requiring additional sensors or complex active scanning systems
Solution Approach 2:
The system replaces complex active presence detection mechanisms with passive wireless signal detection. Instead of using cameras, sensors, or active scanning systems to detect user presence, the gateway passively monitors for wireless signals naturally emitted by user devices, substituting a simple signal detection approach for more complex mechanical or electronic detection systems
Data Source
AI summary
Systems and methods for providing content recommendations or advertisements based at least in part on the identity of users that are within an experiential range of a primary device for rendering the content recommendation or advertisement are disclosed. A home service gateway may be configured to identify users within the experiential range of the primary device and generate a content recommendation request and/or an advertisement request identifying the users within the experiential range. A content delivery system may receive the recommendation request and/or ad request and provide content recommendations and/or advertisements to the home service gateway based at least in part on the identity of the users that are within the experiential range of the primary device.