Content Recommendation System for Multi-User Location Detection
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Solution Overview
Problem
Existing systems require users to log in and identify themselves to receive personalized content, which can be cumbersome and interruptive, especially when multiple users are watching content together.
Innovation Solution
A system that determines the location of computing devices and identifies mobile devices within that location to create a single profile for multiple users, allowing for personalized content recommendations without the need for individual user login.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users are required to log in and identify themselves to receive personalized content, then content personalization can be achieved, but user convenience and viewing continuity deteriorate due to additional time requirements and interruptions
Solution Approach 1:
The system automatically detects mobile devices in the location and retrieves their associated profiles without requiring user intervention. The access point monitors device identifiers and autonomously associates users with content recommendations, eliminating the need for manual login while maintaining personalized content delivery.
Solution Approach 2:
User profiles are pre-associated with mobile devices before the viewing session begins. The system proactively identifies devices in the location and has profiles ready for immediate retrieval, so when content recommendations are needed, the personalized information is already prepared and waiting, eliminating any interruption to the viewing experience.
2Measurement precision
If multiple users are required to log in individually to indicate they are watching content, then accurate user identification can be achieved, but time consumption and interruption increase significantly
Solution Approach 1:
The system merges the identification process for multiple users into a single automated operation. Instead of requiring each user to log in separately, the access point detects all mobile devices in the location simultaneously and retrieves their profiles in one batch operation, maintaining accurate identification while dramatically reducing the total time required.
Solution Approach 2:
The manual mechanical process of individual user login is replaced with an automated electronic detection system. The access point uses electronic signals to automatically detect mobile device identifiers and retrieve associated profiles, substituting the time-consuming manual login process with a rapid automated electronic identification system.
3Ease of operation
If a single profile is created for multiple users based on mobile device location, then user experience is improved by eliminating login requirements, but system complexity increases due to location determination and device identification processes
Solution Approach 1:
The access point is given multiple functions: it continues to provide its traditional wireless network access function while also performing user identification, device detection, and profile retrieval. By making the access point a multi-functional device, the system avoids adding separate dedicated hardware for each function, thereby limiting the increase in overall system complexity while still achieving automated profile-based content recommendation.
Data Source
AI summary
Systems, methods, and apparatuses may be provided for recommending content. Multiple mobile devices may be detected within a premises. A profile associated with the multiple mobile devices may be determined. The profile may be evaluated to determine content to recommend. The content recommendations may be caused to be displayed at a display device within the premises.