If you're looking for books that can help you understand algorithms in the context of website traffic, here's a list of 15 recommended books:

"Introduction to Algorithms" by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein

"Algorithms" by Robert Sedgewick and Kevin Wayne

"The Algorithm Design Manual" by Steven S. Skiena

"Algorithm Design" by Jon Kleinberg and Éva Tardos

"Data Structures and Algorithms in Python" by Michael T. Goodrich, Roberto Tamassia, and Michael H. Goldwasser

"Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles" by Narasimha Karumanchi

"Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People" by Aditya Bhargava

"Algorithms in a Nutshell" by George T. Heineman, Gary Pollice, and Stanley Selkow

"The Design and Analysis of Algorithms" by Anany Levitin

"Algorithms Unlocked" by Thomas H. Cormen

"Algorithmic Game Theory" by Noam Nisan, Tim Roughgarden, Éva Tardos, and Vijay V. Vazirani

"Introduction to the Theory of Computation" by Michael Sipser

"Web Scalability for Startup Engineers" by Artur Ejsmont

"Building Scalable Web Sites" by Cal Henderson

"High Performance Web Sites: Essential Knowledge for Front-End Engineers" by Steve Souders

These books cover a range of topics related to algorithms, data structures, and web scalability, providing a solid foundation for understanding algorithms in the context of website traffic.