Media Recommendation System for Limited Storage Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users of electronic devices with limited local storage face challenges in accessing their entire media library, leading to forgotten or undiscovered media items due to the need to select a subset for local storage, which limits their ability to enjoy and rediscover their media collection.
Innovation Solution
A system where a host device recommends media items from the user's library to be stored on the electronic device based on user preferences, using a preference profile generated from play counts, ratings, and interactions, allowing users to rediscover unselected media through automatic selection and transfer of recommended items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the user stores only a subset of media items locally on the electronic device, then the device storage limit is respected, but the user cannot access or rediscover all media items in the library
Solution Approach 1:
The patent introduces a server as an intermediary between the user's electronic device and the media library. The server stores the complete media library and provides recommendations to the device, allowing users to access media items without storing them locally. This resolves the contradiction by enabling full library access while respecting device storage limits.
Solution Approach 2:
The patent transitions from local storage (two-dimensional: device storage capacity vs. media library size) to a three-dimensional architecture involving cloud storage. By moving media items to a server dimension, the system enables unlimited media access on the device while maintaining storage constraints on the electronic device itself.
2Quantity of substance
If the user manually selects media items for local storage, then storage space is optimized, but the user may forget or rarely hear media items not transferred to the device
Solution Approach 1:
The system performs self-service by automatically analyzing user preferences and generating media recommendations without requiring manual user selection. The server monitors user interactions and autonomously determines which media items to recommend, freeing users from the tedious manual selection process while ensuring they don't forget their media collection.
Solution Approach 2:
The patent implements feedback mechanisms where the server monitors user interactions with media items and uses this information to refine recommendations. This continuous feedback loop ensures users are exposed to media they are likely to enjoy, preventing loss of interest in their media library while maintaining optimized storage.
3Adaptability or versatility
If the electronic device has limited local storage, then the device remains portable and manageable, but the user cannot store the entire media library locally
Solution Approach 1:
The server acts as an intermediary that holds the complete media library, allowing the electronic device to access unlimited media items through network connection. This resolves the storage capacity contradiction by separating the media storage function (server) from the playback function (device).
Solution Approach 2:
The patent creates a universal access model where the electronic device can access the entire media library through the server, regardless of local storage capacity. The system becomes multi-functional, supporting both limited local storage for portability and unlimited access through cloud connectivity.
Data Source
AI summary
This is directed to recommending media items of a user's media library. In particular, this is directed to transferring a portion of the user's media library to an electronic device so that the user may discover the portion of the media library. The library can recommend particular media items to the user using any suitable approach, including for example based on one or more preference profiles. The user can accept or reject recommended media items as they are played back to further adjust the user's preference profile, and to revise the selection of recommended media items stored on the device.