Who's #1?
eBook - ePub

Who's #1?

The Science of Rating and Ranking

  1. 272 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Who's #1?

The Science of Rating and Ranking

About this book

The mathematics behind today's most widely used rating and ranking methods

A website's ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings are everywhere, but how exactly do they work? Who's #1? offers an engaging and accessible account of how scientific rating and ranking methods are created and applied to a variety of uses.

Amy Langville and Carl Meyer provide the first comprehensive overview of the mathematical algorithms and methods used to rate and rank sports teams, political candidates, products, Web pages, and more. In a series of interesting asides, Langville and Meyer provide fascinating insights into the ingenious contributions of many of the field's pioneers. They survey and compare the different methods employed today, showing why their strengths and weaknesses depend on the underlying goal, and explaining why and when a given method should be considered. Langville and Meyer also describe what can and can't be expected from the most widely used systems.

The science of rating and ranking touches virtually every facet of our lives, and now you don't need to be an expert to understand how it really works. Who's #1? is the definitive introduction to the subject. It features easy-to-understand examples and interesting trivia and historical facts, and much of the required mathematics is included.

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Yes, you can access Who's #1? by Amy N. Langville,Carl D. Meyer in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Chapter 1. Introduction to Ranking
  8. Chapter 2. Massey’s Method
  9. Chapter 3. Colley’s Method
  10. Chapter 4. Keener’s Method
  11. Chapter 5. Elo’s System
  12. Chapter 6. The Markov Method
  13. Chapter 7. The Offense–Defense Rating Method
  14. Chapter 8. Ranking by Reordering Methods
  15. Chapter 9. Point Spreads
  16. Chapter 10. User Preference Ratings
  17. Chapter 11. Handling Ties
  18. Chapter 12. Incorporating Weights
  19. Chapter 13. “What If . . .” Scenarios and Sensitivity
  20. Chapter 14. Rank Aggregation–Part 1
  21. Chapter 15. Rank Aggregation–Part 2
  22. Chapter 16. Methods of Comparison
  23. Chapter 17. Data
  24. Chapter 18. Epilogue
  25. Glossary
  26. Bibliography
  27. Index