Analysis
This article dives into Indeed's innovative use of AI to refine job search results, preventing user frustration by filtering out irrelevant opportunities. It highlights the use of machine learning, especially job transition embeddings, to match candidates with the most suitable positions, enhancing user satisfaction and platform engagement.
Key Takeaways
- •Indeed employs rule-based and machine-learning filters to improve job recommendations.
- •Job transition embeddings are created to assess job suitability for candidates.
- •Weighted Jaccard coefficients are utilized for matching job seeker profiles with job postings.
Reference / Citation
View Original"This rule creates job transition embeddings and determines if a job is appropriate for the job seeker."