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Machine Learning Paradigms|Aristomenis S. Lampropoulos

Machine Learning Paradigms : Applications in Recommender Systems

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Overview

Introduction.- Review of Previous Work Related to Recommender Systems.- The Learning Problem.-Content Description of Multimedia Data.- Similarity Measures for Recommendations based on Objective Feature Subset Selection.- Cascade Recommendation Methods.- Evaluation of Cascade Recommendation Methods.- Conclusions and Future Work.

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Details

  • ISBN-13: 9783319384962
  • ISBN-10: 3319384961
  • Publisher: Springer
  • Publish Date: October 2016
  • Dimensions: 9.21 x 6.14 x 0.31 inches
  • Shipping Weight: 0.47 pounds
  • Page Count: 125

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