Who's #1? (eBook)

The Science of Rating and Ranking

Amy N. Langville, Carl D. Meyer (Autoren)

eBook Download: PDF | EPUB

2012
Princeton University Press (Verlag)
978-1-4008-4167-7 (ISBN)

Infos

Amy N. Langville is associate professor of mathematics at the College of Charleston. Carl D. Meyer is professor of mathematics at North Carolina State University. They are the authors of Google's PageRank and Beyond: The Science of Search Engine Rankings (Princeton).

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

Produkt-Details

• Erscheint lt. Verlag: 26.2.2012
• Zusatzinfo: 25 halftones. 47 line illus. 60 tables.
• Verlagsort: Princeton
• Sprache: englisch
• Themenwelt: Sachbuch/Ratgeber ► Natur / Technik
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Mathematik / Informatik ► Mathematik ► Allgemeines / Lexika
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Technik
• Schlagworte: Accuracy and precision • Addition • Adjacency Matrix • algorithm • analytic hierarchy process • arithmetic mean • Arrow's Impossibility Theorem • Ask.com • Big O notation • bipartite graph • Borda Count • bracketology • Calculation • centroid • college basketball • Computation • Concordant pair • data set • Davidson College • Diagram (category theory) • Doubly stochastic matrix • Eigenvalues and Eigenvectors • Equation • estimation • Feasible region • geometric mean • George W. Bush • graph theory • Identity matrix • Independence of irrelevant alternatives • Instance (computer science) • Integer • Integer Programming • Iteration • Iterative Method • Jon Kleinberg • Kendall rank correlation coefficient • Lecture • linear algebra • Linear Programming • logistic function • Logistic Regression • Loss Function • Markov Chain • Markov model • Mathematical Analysis • Mathematical Optimization • mathematician • Metasearch engine • M-matrix • Netflix • Non-dictatorship • Normal distribution • number line • optimization problem • Pagerank • Parameter • Pareto principle • percentage • Permutation • Permutation Matrix • Prediction • Probability • Proportionality (mathematics) • Quantity • Ralph Nader • Rank correlation • Ranking • Ranking (information retrieval) • Rate of Convergence • Raw score • Recommender System • Requirement • result • Running • scientific notation • Sensitivity Analysis • Server (computing) • Skew-symmetric matrix • Special case • Statistic • Statistics • Stochastic matrix • Subset • Suggestion • Summation • Theorem • theory • Total order • Triangular Matrix • Unrestricted domain • Variable (mathematics) • Voting • Web Page • Web Scraping • Web search engine • Website • Weight function • weighting • zip code
• ISBN-10: 1-4008-4167-4 / 1400841674
• ISBN-13: 978-1-4008-4167-7 / 9781400841677