Search Engines are built on a series of ever-changing and opaque
algorithms. Those algorithms have become increasingly complex with
advancements in Machine Learning, but none of it is magic.
The SEO industry is informal and lacks the rigor required to effectively
train its community in the technical aspects of what happens after you
click the magnifying glass button. That lack of rigor and understanding
has yielded a community full of confusion and misinformation, but it
does not have to be that way.
The "Science of SEO" is an approachable guide to navigating the
confluence of Information Retrieval, Web Development, Data Science and
Artificial Intelligence in Search Engine Optimization. This book is
being written in response to the explosion of SEO interest in data
science and the technical concepts behind search engines with the goal
of creating the definitive resource to formalize the concept of SEO
engineering.