Multi-Dimensional Inverted Index for Targeted Communication Efficiency
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Solution Overview
Problem
Existing technologies for targeted communications are costly in terms of computing resources and network bandwidth, and they lack an efficient method for generating and transmitting targeted communications effectively.
Innovation Solution
The method involves generating and querying a multi-dimensional inverted index using computing device processors, which determines candidate identifiers, transmission rates, and traits associated with targeted communication recipients. It creates dimensions based on these traits and performs intersecting computations to select the most appropriate targeted communications for transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing technologies are used for targeted communications, then communications can be transmitted to audiences, but computing resources and network bandwidth are wasted due to inefficient methods
Solution Approach 1:
The patent segments the audience data into multiple dimensions (e.g., demographics, interests, behavior) and creates separate inverted indexes for each dimension. This segmentation allows the system to efficiently query and intersect specific dimension combinations without processing entire datasets, thereby reducing computing resource waste and improving transmission efficiency.
Solution Approach 2:
The patent performs preliminary actions by pre-building multi-dimensional inverted indexes from available data before actual communication campaigns. These indexes organize and index audience data across multiple dimensions in advance, enabling rapid querying and intersection operations when communication needs arise, thus avoiding real-time data processing overhead and reducing resource consumption during actual transmission.
2Productivity
If traditional methods are used for generating targeted communications, then communications can be created, but the process is costly and lacks efficiency
Solution Approach 1:
The patent uses inverted indexes as simplified data structures that copy and organize only the necessary audience attributes and their positions in the original data. Instead of processing entire complex datasets repeatedly, the system works with these compact copied representations, significantly reducing computing resource requirements while maintaining the ability to generate targeted communications efficiently.
3Productivity
If multi-dimensional inverted indexes are used, then targeted communications can be efficiently transmitted to relevant audiences, but the system complexity increases
Solution Approach 1:
The patent introduces multiple dimensions to organize audience data, where each dimension represents a different attribute category (e.g., age, location, interests). By adding these dimensional layers, the system enables efficient filtering and intersection operations without increasing underlying storage complexity, as each dimension adds organizational structure rather than raw data volume.
Data Source
AI summary
This disclosure is directed to systems and methods for generating and querying an index associated with targeted communications. A method may include receiving candidate identifiers, rates of targeted communication, and traits associated with the candidate identifiers. A method may include generating a candidate index including one or more dimensions associated with candidate traits. A method may include receiving a query associated with desired candidate traits, determining if one or more candidates appear in the dimensions associated with the desired traits, and intersecting the dimensions to determine if one or more candidates appear in all of the dimensions associated with the desired candidate traits. A method may include generating a result set based on the results of an intersecting computation. A method may include removing candidates from the result set and transmitting targeted communications on behalf of or to the candidates remaining on the result set.