Mobile Content Distribution System Using Boolean Rule Evaluation
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Solution Overview
Problem
Current content distribution systems face inefficiencies in processing vast numbers of content presentation opportunities on mobile devices, leading to high computational costs due to the need for mathematical scoring for every notification, which often results in unnecessary processing and resource expenditure.
Innovation Solution
The system employs automatically generated Boolean rules to evaluate content presentation opportunities, leveraging Boolean expressions to quickly determine the relevance of user profiles to content targeting, thereby reducing processing time and resource usage by truncating evaluations when conditions are met, and using mathematical scoring only for remaining opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mathematical scoring is applied to every content presentation opportunity, then content distribution accuracy is improved, but processing time and computational resources increase significantly
Solution Approach 1:
The patent segments the content distribution process into two distinct phases: an initialization phase where mathematical scoring is performed comprehensively to build audience segment profiles, and an execution phase where pre-generated Boolean rules are applied for rapid content matching. This segmentation eliminates the need for repeated mathematical scoring during content presentation while maintaining distribution accuracy through the use of pre-computed audience segments.
Solution Approach 2:
The patent performs preliminary mathematical scoring and audience segment generation during an initialization phase before actual content distribution begins. By pre-computing audience segments based on user profiles and content characteristics, the system prepares evaluation criteria in advance, allowing rapid Boolean rule matching during content presentation without sacrificing accuracy.
2Measurement precision
If mathematical scoring is performed for every content notification, then content targeting precision is improved, but computational cost increases
Solution Approach 1:
The patent divides the computationally intensive mathematical scoring operation into a one-time initialization task that creates audience segments, versus the lightweight Boolean rule matching used during content distribution. This segmentation concentrates computational cost into a preliminary phase, making the actual content distribution energy-efficient while preserving targeting precision through the use of pre-computed audience segments.
Solution Approach 2:
The patent creates simplified copies of the mathematical scoring logic in the form of pre-generated Boolean rules that encode audience segment characteristics. These Boolean rules serve as lightweight representations that capture the essence of complex scoring models, enabling rapid content matching with minimal computational overhead while maintaining targeting precision.
3Measurement precision
If comprehensive profile evaluation is performed for each content request, then content relevance is improved, but processing speed decreases
Solution Approach 1:
The patent performs comprehensive profile evaluation and audience segment generation in advance during an initialization phase. By pre-computing which user profiles match which content types based on detailed analysis, the system creates ready-to-use Boolean rules that enable rapid content matching without sacrificing relevance during actual content distribution.
Solution Approach 2:
The patent replaces expensive, time-consuming mathematical scoring operations with inexpensive Boolean rule evaluations for content matching. The Boolean rules serve as lightweight, disposable evaluation mechanisms that provide sufficient content relevance at a fraction of the computational cost and time required for full mathematical scoring.
Data Source
AI summary
A method of mobile content distribution. The method comprises receiving requests to provide mobile content to a mobile communication device by an application executing on a computer system, where each request comprises a user identity, looking up profile information by the application based on the user identity, and evaluating the profile information by the application according to a Boolean rule, where each rule defines a plurality of conditions for satisfying the rule in terms of three or more of gender, location, identity of a mobile application installed on a mobile communication device, age category, and identity of a mobile communication device model. The method further comprises, for a content request that evaluates true in the Boolean rule, scoring the profile information according to a model and sending mobile content to a mobile communication device associated with the profile information whose score exceeds a predefined threshold.