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computer_science2 papersavg year 2026quality 4/5

advanced datasets machine incorporating analytics

Research gap analysis derived from 2 computer_science papers in our local library.

The gap

In future work, the system can be enhanced by incorporating advanced machine learning models, real-time analytics, and larger educational datasets to further improve prediction accuracy and personalization capabilities.; The recommendation accuracy can be further improved by using real-time user data, larger datasets, and advanced machine learning models.

Research trend

Emerging — attention growing, methods still coalescing.

Supporting evidence — 2 representative gaps

  • Adaptive Learning Technologies in Modern Education (2026) · doi

    In future work, the system can be enhanced by incorporating advanced machine learning models, real-time analytics, and larger educational datasets to further improve prediction accuracy and personalization capabilities.

    Keywords: future system enhanced incorporating advanced machine learning models real time analytics larger educational datasets further
  • Personalized Recommendation System for E-Commerce Platform (2026) · doi

    The recommendation accuracy can be further improved by using real-time user data, larger datasets, and advanced machine learning models.

    Keywords: recommendation accuracy further improved using real time user larger datasets advanced machine learning models

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