Who's #1? : the science of rating and ranking / Amy N. Langville and Carl D. Meyer.

Format:

Book

Author/Creator:

Langville, Amy N.

Contributor:

Meyer, Carl D.

Language:

English

Subjects (All):

Ranking and selection (Statistics).

Mathematical statistics.

Physical Description:

1 online resource (266 p.)

Edition:

Course Book

Other Title:

Who's number one?

Place of Publication:

Princeton : Princeton University Press, 2012.

Language Note:

English

System Details:

Mode of access: World Wide Web.

Summary:

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.

Contents:

Front matter

Contents

Preface

Chapter 1. Introduction to Ranking

Chapter 2. Massey's Method

Chapter 3. Colley's Method

Chapter 4. Keener's Method

Chapter 5. Elo's System

Chapter 6. The Markov Method

Chapter 7. The Offense-Defense Rating Method

Chapter 8. Ranking by Reordering Methods

Chapter 9. Point Spreads

Chapter 10. User Preference Ratings

Chapter 11. Handling Ties

Chapter 12. Incorporating Weights

Chapter 13. "What If . . ." Scenarios and Sensitivity

Chapter 14. Rank Aggregation-Part 1

Chapter 15. Rank Aggregation-Part 2

Chapter 16. Methods of Comparison

Chapter 17. Data

Chapter 18. Epilogue

Glossary

Bibliography

Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786613411761

9781400841677

1400841674

9781283411769

1283411768

OCLC:

771876148