📅 2025-06-05 — Session: Developed Scoring and Categorization System for SERP
🕒 03:25–04:25
🏷️ Labels: Scoring System, SERP, ATS, Python, Domain Categorization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to design and implement a scoring and categorization system for SERP domains, focusing on their relevance to Applicant Tracking Systems (ATS) and direct job application pages.
Key Activities:
- Designing a Scoring System: A structured approach was outlined for ranking SERP domains based on their relevance to employer ATS or direct application pages, including heuristics for scoring and integration with a DataFrame.
- Critical Examination: The design was critically evaluated to identify potential edge cases and suggest improvements for robustness and accuracy.
- Domain Categorization: A framework was created for categorizing domains related to ATS, job aggregators, employer sites, and learning platforms, with example code provided.
- Implementation of Labeling: Implemented a structured labeling system using dictionaries for ATS providers and aggregators, along with a function for applying these labels to a DataFrame.
- Categorization and Ranking: Analyzed and categorized unknown domains into existing labels and ranked job aggregators by effectiveness, providing recommendations for integration and handling edge cases.
- Scoring Methodology for ATS: Developed a scoring methodology for ATS based on quality, adoption, and integration with employer recruitment processes, including a Python function for score integration.
- Refinement of Functions: Refined labeling and scoring functions for domains, ensuring consistent categorization.
Achievements:
- Successfully designed and implemented a comprehensive scoring and categorization system for SERP domains.
- Developed methodologies and code for domain categorization and ATS scoring.
Pending Tasks:
- Further testing and validation of the scoring system to ensure accuracy and robustness in various scenarios.
- Integration of the refined functions into existing workflows.