AI-Enabled Job Classification and Vast Taxonomy Determine Best Campaign Strategies and Facilitate Performance Prediction
(New York, NY-April 17, 2018) PandoLogic continues to disrupt the recruitment advertising industry with the recent announcement of the “Pando” algorithm, the industry’s first AI-enabled job description classification algorithm designed specifically for programmatic job advertising. The Pando algorithm leverages PandoLogic’s proprietary real-time job classification engine and robust recruitment taxonomy to automatically index job ads and match them to the optimal job-specific campaign strategy. In addition to eliminating the hassles associated with manual job classification and campaign budget allocation, the powerful algorithm also identifies and extracts 37 attributes found in the job description that are used to predict job ad performance. The Pando algorithm is available within pandoIQ, PandoLogic’s programmatic job advertising platform for enterprise recruiting.
“The Pando algorithm is another example of our 10-year track record of innovation in recruitment marketing.” said Jonathan Bulkeley, PandoLogic’s CEO. “With Pando’s successful deployment on the pandoIQ platform, employers can now benefit from sophisticated AI algorithms that simplify applicant sourcing and optimize job advertising spend.” continued Bulkeley.
The innovative Pando algorithm uses natural language processing and AI to automatically parse each job description and cross-index key attributes such as required skills, education, certifications, and even job title synonyms against the company’s vast recruitment taxonomy in order to determine the correct classification. The optimal targeted job ad campaign strategy is then assigned based on the classification and historical performance data for similarly classified jobs. Since job classification is determined using the full job description, jobs that may appear the same based on job title alone are often assigned different campaign strategies due to other requirements found in the description such as education level and required skills. Once classification and indexing are complete, Pando hands the jobs over to other PandoLogic algorithms for further campaign processing.
“Our unique Pando algorithm and its integration with pandoIQ’s other sophisticated algorithms enables PandoLogic to provide an end to end job advertising platform unparalleled in the recruiting industry today” said Amir Kaldor, PandoLogic’s CTO and lead data scientist behind the development of PandoLogic’s job classification technology.
PandoLogic enables employers to source quality applicants faster and more efficiently through the use of big data, artificial intelligence, and proprietary campaign algorithms that fully-automate and optimize the job advertising process. Since 2007, over 125,000 employers and more than 700 digital publishers have benefited from PandoLogic’s programmatic solutions resulting in over 5.4 billion programmatic job campaigns based on more than 199 billion historical job performance data points. To learn more visit www.pandologic.com.