Contextual recommendation modeling in eCoaching with machine learning, X-AI, and semantic ontology - Takeaways - MDSpire

Contextual recommendation modeling in eCoaching with machine learning, X-AI, and semantic ontology

  • By

  • Ayan Chatterjee

  • Nurilla Avazov

  • July 15, 2026

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  • 1

    An automated eCoaching system provides personalized activity recommendations based on real-time weather data.

  • 2

    The system uses an algorithm to classify weather data and generate tailored suggestions for indoor or outdoor exercise.

  • 3

    A comprehensive study collected 18 months of weather data from thirteen cities in southern Norway to evaluate the system.

  • 4

    The decision tree classifier achieved an accuracy of 99.1%, with predictions explained using local model-independent interpretable explanations (LIME).

  • 5

    The study integrates long-term weather data with personal preferences to generate context-aware recommendations for physical activity.

Original Source(s)

Contextual recommendation modeling in eCoaching with machine learning, X-AI, and semantic ontology

  • by Ayan Chatterjee, Nurilla Avazov

  • July 15, 2026

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