Location-Based Entertainment Profile System for Personalized Media Guidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face frustration due to the overwhelming amount of irrelevant information and content on mobile devices, as existing technologies lack effective methods to personalize media recommendations based on location and personal preferences.
Innovation Solution
The system stores a user's entertainment profile and uses location-based rules to identify actions based on their GPS location, allowing for personalized media guidance and recommendations by generating options or communicating with home entertainment devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If personalized media recommendations are provided, then user satisfaction is improved, but device complexity increases due to location tracking and profile management
Solution Approach 1:
The system automatically tracks user location via GPS and retrieves entertainment profiles without manual input. The processor autonomously determines when users enter/exit locations and generates personalized media recommendations, eliminating the need for users to manually configure settings or provide feedback.
Solution Approach 2:
The system introduces an intermediary processing layer that receives GPS location data, compares it against stored location information, retrieves relevant entertainment profiles from memory, and generates personalized media recommendations. This intermediary process manages the complexity of coordinating multiple data sources.
2Loss of information
If location-based filtering is implemented, then information relevance is improved, but processing requirements increase
Solution Approach 1:
The system pre-loads and stores entertainment profiles and location information in memory before they are needed. By having this data readily available in stored memory rather than retrieving it in real-time, the system reduces processing requirements and energy consumption during actual location-based filtering operations.
Data Source
AI summary
Methods and systems for performing actions based on location-based rules are provided. In particular, these methods and systems may store an entertainment profile of a user, wherein the entertainment profile identifies entertainment media characteristics of the user. It may then be determined that the user entered a predetermined range of a location. In response to this, a location-based rule that corresponds to the location and that defines an action to be taken may be automatically identified. Based on the location-based rule, the location, and the entertainment profile of the user, the action may be performed.