Immutable Listing User Identifier Revelation via Trie and Bloom Filter
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Solution Overview
Problem
Immutable sequential listings face challenges in efficiently revealing relevant user identifiers associated with action data and user roles to a posting generator, hindering effective matching of job seekers with employment opportunities.
Innovation Solution
A processor-based apparatus and method that stores user identifiers on an immutable sequential listing, associates them with action data and user roles, receives posting data, classifies it using machine learning processes, and reveals relevant user identifiers to the posting generator, enabling efficient matching of job seekers with job postings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user identifiers are stored on an immutable sequential listing for secure storage, then data security and integrity are improved, but the efficiency of revealing relevant user identifiers to posting generators deteriorates
Solution Approach 1:
The patent segments the immutable sequential listing into multiple data structures including a trie structure for efficient prefix-based searching and a Bloom filter for rapid existence checking. This segmentation allows the system to maintain the security benefits of immutable storage while enabling efficient querying and revelation of relevant user identifiers without scanning the entire listing.
Solution Approach 2:
The patent introduces intermediary data structures (trie structure, Bloom filter, and mapping structures) that act as mediators between the immutable sequential listing and the posting generator. These intermediaries enable efficient revelation operations by providing optimized access paths while the actual user identifiers remain securely stored in the immutable listing, thus resolving the contradiction between security and efficiency.
2Loss of information
If all user identifiers are revealed to posting generators, then matching completeness is improved, but information security and privacy protection deteriorate
Solution Approach 1:
The patent applies local quality by providing different levels of information access to different posting generators based on their specific needs and authorization. Rather than uniformly revealing all user identifiers, the system selectively reveals only the relevant subset matching the posting criteria, thus maintaining matching completeness for authorized users while protecting privacy for others.
Solution Approach 2:
The patent implements feedback mechanisms where posting generators provide queries about specific job requirements, and the system responds by revealing only the relevant user identifiers that match those requirements. This feedback loop ensures that information is revealed based on actual need, maintaining completeness for legitimate matching purposes while preventing unnecessary privacy exposure.
3Measurement precision
If classification processes are enhanced for accurate matching, then matching precision is improved, but computational complexity and processing time worsen
Solution Approach 1:
The patent performs preliminary actions by pre-processing user identifiers and organizing them into optimized data structures (trie structures, Bloom filters) before actual matching operations. This preliminary organization enables faster and more precise classification during runtime without requiring complex computational processes during the actual matching, thus improving precision while managing complexity.
Solution Approach 2:
The patent employs dynamic classification approaches where the complexity of the matching process adapts based on the specific query and data characteristics. The system can adjust the level of classification detail and computational resources allocated based on the posting requirements, enabling high precision when needed while avoiding unnecessary computational complexity for simpler cases.
Data Source
AI summary
An exemplary apparatus includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to store, using a computing device, on an immutable sequential listing, a plurality of user identifiers, wherein each user identifier of the plurality of user identifiers is associated with the same user, each user identifier of the plurality of user identifiers is associated with a plurality of action data, and each of the plurality of user identifiers is associated with a user role of the user, receive, using a computing device, information relating to an element of posting data associated with a posting generator, classify, as a function of the received information, the information to a user identifier of the plurality of user identifiers as a function of the plurality of action data associated with the user identifier and reveal the user identifier to the posting generator.