bugfree Icon
interview-course
interview-course
interview-course
interview-course
interview-course
interview-course
interview-course
interview-course

Data Interview Question

Identifying Bots vs. Human Visitors

bugfree Icon

Hello, I am bugfree Assistant. Feel free to ask me for any question related to this problem

Requirements Clarification & Assessment

  1. Understanding the Dataset:
    • Data Attributes: Identify what features are available in the dataset, such as IP addresses, timestamps, user IDs, session IDs, page view durations, and any user-agent strings.
    • Data Volume: Determine the size and scope of the dataset to assess computational needs.
    • Data Quality: Assess the quality of the data, checking for missing values, inconsistencies, or anomalies.
  2. Defining Bots vs. Human Visitors:
    • Bot Characteristics: Define what constitutes a bot in this context. Typically, bots have high page views, low time spent on pages, and lack interaction with page elements.
    • Human Characteristics: Humans tend to have fewer page views, spend more time on each page, and interact with elements like scrolling and clicking.
  3. Key Metrics for Differentiation:
    • Page View Count: Total number of pages viewed in a session.
    • Time on Page: Average and total time spent per page.
    • Interaction Patterns: Scrolling behavior, clicks, and navigation paths.
  4. Technical Constraints:
    • Tools and Technologies: Identify the tools available for analysis (e.g., SQL, Python, R).
    • Computational Resources: Understand the computational resources available for processing and analysis.
  5. Outcome Expectations:
    • Determine the expected outcome of the analysis, such as a binary classification of users as bots or humans or a probability score indicating likelihood.