Personalized Content Server Link Obfuscation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for delivering personalized content to user electronic devices are hindered by content filtering applications, such as ad blockers, which can remove or alter both personalized and generic content, leading to user dissatisfaction and broken presentation of network resources.
Innovation Solution
A method and system that involve a personalized content server which receives a proxy-request from a network resource server, parses the content to detect links, applies a link obfuscation routine using a pre-determined template based on the domain name, and transmits the content with obfuscated links to the device, allowing for the retrieval of both generic and personalized content portions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content filtering applications (ad blockers) are used to remove unwanted content, then user control over content is improved, but personalized content delivery is blocked and generic content may be incorrectly removed
Solution Approach 1:
The patent introduces an intermediary system between the content delivery network and the user device that uses machine learning to distinguish between personalized content and ad content. This intermediary analyzes content characteristics, user behavior patterns, and contextual information to accurately identify and preserve personalized content while allowing ad blockers to remove actual advertisements, thus resolving the contradiction between user control and reliable personalized content delivery
Solution Approach 2:
The patent changes the parameters of content identification by using machine learning models that analyze multiple features including content structure, user interaction patterns, and contextual metadata. This parameter-based differentiation allows the system to maintain personalized content delivery reliability even when ad blockers are active, as the system can adapt its identification criteria based on observed patterns
2Object-generated harmful factors
If ad blockers remove all third-party content, then ad content is filtered, but personalized content is also removed or altered leading to broken presentation
Solution Approach 1:
The patent employs an intermediary classification system that acts as a mediator between ad blockers and personalized content. This system analyzes content attributes and user behavior to create a protection layer that prevents ad blockers from removing personalized content, thereby filtering harmful ad content while preserving valuable personalized information
Solution Approach 2:
The patent implements feedback mechanisms where user interactions with content are continuously monitored and used to refine the classification of personalized versus ad content. This feedback loop enables the system to learn from user behavior patterns and improve its ability to distinguish personalized content from ads, preventing information loss while maintaining effective ad filtering
3Adaptability or versatility
If personalized content is delivered through separate servers, then content personalization is achieved, but system complexity increases and content may be blocked by filters
Solution Approach 1:
The patent merges the personalized content delivery functionality with the existing content delivery network infrastructure by integrating machine learning-based classification into the current server architecture. This consolidation approach maintains content personalization capabilities while reducing system complexity compared to completely separate personalized content servers, and the intelligent classification helps bypass ad blocker filters
4Adaptability or versatility
If multiple content servers are used for generic and personalized content, then content delivery flexibility is improved, but bandwidth consumption increases
Solution Approach 1:
The patent segments content delivery by using machine learning to identify and separate personalized content from ad content, allowing each type to be delivered through optimized pathways. This segmentation enables the system to maintain delivery flexibility for personalized content while reducing overall bandwidth consumption by efficiently managing ad content delivery or eliminating it when blocked
Data Source
AI summary
There is disclosed a method for sending personalized content to an electronic device associated with a user. The e method executable in a personalized content system, the personalized content system including a communication network; a network resource server hosting a network; a personalized content server coupled to the communication network and accessible by the network resource server and the electronic device via the communication network. The network resource having a generic content link and a personalized content link. The method comprises parsing, by the personalized content server, content of the network resource, to detect a plurality of links contained therein, the plurality of links including the generic content link and the personalized content link; executing, by the personalized content server, a link obfuscation routine, transmitting the content of the network resource with the plurality of links having been obfuscated to the electronic device.