Job Posting Standardization and Deduplication via Hashing
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Solution Overview
Problem
Job hosting services face challenges in standardizing and deduplicating job postings from disparate third-party systems, leading to inconsistencies and duplicates in their databases, which affect the quality and relevance of job listings presented to users.
Innovation Solution
Implementing a job hosting service with modules for job capture, standardization, and deduplication, which standardize job titles and descriptions to match predefined formats and integrate them into the system, while using hash values and source types to identify and replace duplicate postings, ensuring only superior and paid listings are prioritized.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If job postings are collected from multiple third-party systems, then the quantity of job listings increases, but inconsistencies and duplicates in data format arise
Solution Approach 1:
The patent introduces a job standardization module as an intermediary between third-party job posting sources and the job hosting service database. This module acts as a mediator that receives job postings in various formats from multiple third-party systems, standardizes them according to predefined schemas, and outputs consistent data formats. The standardization module includes components for parsing different formats, validating against schemas, and transforming data into a unified structure, thereby resolving the contradiction between collecting diverse job listings and maintaining data consistency.
Solution Approach 2:
The patent applies parameter changes by transforming job posting data through standardization parameters such as required fields, data types, validation rules, and formatting specifications. The system changes the parameters of incoming job postings (e.g., converting various date formats to a standard format, normalizing job title structures, standardizing location formats) to ensure consistency across all listings while preserving the essential information from diverse sources.
2Adaptability or versatility
If all captured job postings are integrated into the system, then the variety of job listings increases, but duplicate postings consume database space and reduce quality
Solution Approach 1:
The patent implements preliminary action through a job deduplication module that performs deduplication checks before integrating job postings into the database. The system generates hash values from standardized job posting attributes (such as job title, company, location, and description) and compares these hashes against existing listings. This preliminary filtering action prevents duplicate postings from being stored, thereby maintaining database quality and efficiency while still allowing diverse legitimate listings to be integrated.
Solution Approach 2:
The patent uses copying techniques by creating hash value representations of job posting attributes for efficient comparison. Instead of storing and comparing entire job posting texts, the system generates compact hash copies that represent the essential identifying features of each posting. This copying approach enables rapid duplicate detection while preserving the ability to identify and integrate unique, high-quality job listings from various sources.
3Manufacturing precision
If manual standardization of job postings is performed, then data quality improves, but processing time and resources increase
Solution Approach 1:
The patent implements self-service through automated standardization and deduplication processes that operate without manual intervention. The job standardization module automatically parses incoming job postings, validates them against predefined schemas, and transforms them into standardized formats. The deduplication module automatically generates hash values, compares listings, and identifies duplicates. This automation eliminates the need for manual standardization while maintaining high data quality, thereby resolving the contradiction between processing quality and time consumption.
Solution Approach 2:
The patent replaces mechanical manual standardization processes with automated computational systems. Instead of relying on human operators to manually review and standardize each job posting, the system uses algorithmic processes including regex-based parsing, schema validation, hash generation, and automated comparison logic. This substitution of mechanical human labor with automated computational mechanisms achieves both high standardization quality and efficient processing speeds.
Data Source
AI summary
Techniques for standardizing and deduplicating unpaid job postings obtained from third-party systems are described. An unpaid job posting is obtained by a social networking service from a third-party system. The title and description of the unpaid job posting are standardized and combined into a standardized unpaid job posting. A deduplication process is performed to prevent the standardized unpaid job posting from replacing a paid job posting within the social networking service, and to prevent the standardized unpaid job posting from replacing a more authoritative, unpaid job posting within the social networking service.