Content Distribution Manager Scheduling Optimization
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Solution Overview
Problem
Current media content distribution systems on the Internet face challenges in optimizing content delivery according to scheduling criteria, such as geographical scope and timing, leading to inefficiencies in advertising revenue generation and audience saturation.
Innovation Solution
A system that optimizes content source selection by assigning values to content requests based on scheduling information and thresholds, allowing for the selection of content sources that satisfy delivery schedules while maximizing revenue and audience engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content delivery is scheduled according to selected criteria (geographical scope, timing, delivery volume), then advertising revenue generation is improved, but system complexity increases due to numerous scheduling options and criteria
Solution Approach 1:
The patent introduces a mediator component that sits between content requests and content sources, managing the complex scheduling criteria and delivery rules. This intermediary layer handles the evaluation of geographical scope, timing, and delivery volume without requiring the entire system to become complex, thereby improving revenue generation while containing system complexity.
Solution Approach 2:
The system dynamically adjusts scheduling parameters such as delivery timing, geographical distribution, and volume based on real-time conditions and pre-set criteria. By changing these parameters adaptively, the system optimizes advertising revenue without requiring permanent structural complexity, allowing flexible response to different scheduling scenarios.
2Manufacturing precision
If multiple scheduling criteria are applied to content delivery, then delivery precision is improved, but processing time increases due to evaluation of multiple sources and criteria
Solution Approach 1:
The patent implements preliminary action by pre-evaluating and caching scheduling criteria, content source availability, and delivery rules before actual content requests arrive. This advance preparation allows the system to quickly match requests with appropriate content sources without re-evaluating all criteria in real-time, thereby maintaining high delivery precision while reducing processing time.
Solution Approach 2:
The system applies different levels of evaluation precision to different content sources and request types. Rather than uniformly evaluating all criteria for every request, it selectively applies scheduling criteria based on the specific context, content source characteristics, and request priorities. This localized approach maintains delivery precision where needed while reducing unnecessary processing elsewhere.
Data Source
AI summary
A framework for content delivery includes a content distribution manager operable to select content for distribution in response to a request for content. The selection of content may be made based in part on scheduling information associated with sources of available content and selected by content providers. The selection may further be based in part on a content selection policy selected by publishers who initiate requests for content.