Developed Scoring and Categorization System for SERP

2 min read

Developed Scoring and Categorization System for SERP

  • Day: 2025-06-05
  • Time: 03:25 to 04:25
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Scoring System, SERP, ATS, Python, Domain Categorization

Description

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.

Evidence

  • source_file=2025-06-05.sessions.jsonl, line_number=1, event_count=0, session_id=50fb5819a1efcc408182181e2ef3f3ca0f1f4a1c1fa6883aa18b9dd6947468f6
  • event_ids: []

Graph View

Backlinks