Personalized Content Identifier Translation via Local Mapping

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Solution Overview

Problem

Current URL systems are inefficient for human understanding and privacy, as they require long, complex characters and lack flexibility in content delivery, posing privacy risks due to centralized translation mechanisms.

Innovation Solution

Implementing personalized content identifier translation on user devices, where a server provides mapping files based on user criteria, allowing human-readable identifiers to be translated into server-recognizable formats, enabling flexible content delivery and enhanced privacy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a centralized URL translation server is used to map short URLs to long URLs, then URL translation functionality is provided, but user privacy is compromised due to network monitoring capabilities

Engineering Contradiction:
ImproveURL translation functionalityVSAvoiduser privacy risk
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The patent extracts the URL translation functionality from the centralized server and places it locally on the user's device. The mapping file is downloaded to the user device, enabling local translation without requiring continuous connection to or monitoring by the translation server, thus preserving user privacy while maintaining translation functionality

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system segments the URL translation process into two parts: the mapping file storage and translation logic are separated from the centralized server and placed on the user device. This segmentation allows the translation function to operate independently locally, reducing the need for centralized monitoring and protecting user privacy

Inventive Principle:
Principle #1Segmentation

2Device complexity

If a single mapping file is used for all users, then translation simplicity is maintained, but content delivery flexibility is reduced

Engineering Contradiction:
Improvemapping file managementVSAvoidcontent delivery flexibility
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent implements local quality by providing different mapping files to different user devices based on their specific characteristics (device type, operating system, browser). Each user receives a customized mapping file tailored to their local environment, enabling flexible content delivery while keeping the complexity managed through automated selection processes

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system dynamically selects and delivers appropriate mapping files based on user device characteristics. The mapping file selection is not static but adapts to each user's specific device configuration, enabling flexible content delivery without requiring complex manual configuration for each user

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If long unique URLs are used to identify content, then content identification accuracy is ensured, but human readability and memorability deteriorate

Engineering Contradiction:
Improvecontent identification accuracyVSAvoidhuman readability
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent introduces an intermediary mapping file that contains the correspondence between short human-readable URLs and long server-recognized URLs. This mapping file acts as a mediator, allowing users to interact with simple, memorable URLs while the system automatically translates them to the precise long URLs needed for accurate content identification, thus resolving the contradiction between readability and accuracy

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS11899731B2Personalized translation of content identifiers
Publication Date: 2024.02.13 APPLE INC
  • US11899731B2 patent drawing
  • US11899731B2 patent drawing
  • US11899731B2 patent drawing

AI summary

In some implementations, a user device can perform personalized translation of content identifiers. For example, the user device can request a content identifier mapping file from a server device that defines how to translate a human readable content identifier into a content server content identifier. The server device can select a mapping file from among a collection of mapping files based on various criteria associated with the user device and send the selected mapping file to the user device. When the user device receives a human readable content identifier, the user device can compare the human readable content identifier to the mapping file to determine how to translate the human readable content identifier into the content server content identifier. Once the content server content identifier corresponding to the human readable content identifier is determined, the client device can use the content server content identifier to obtain corresponding content.