In my quest to learn a more finite solution for getting web pages ranked on Google, I stumbled across a book I imagined would be analogous to finding the guru on the mountain top to discover the meaning of life. I picked up Langville and Meyer’s Google’s PageRank and Beyond and sat down to discover the answer to SEM.

I am somewhat analytical and in retrospect, I may be guilty of being overly analytical. As I started reading this informative book, I can say that I do not recommend it to non-math majors or the technical computational reader. The reason for this is because the audience that this book is written for is narrow in focus. However, if query processing, query-independence, Markov Chain Theory, sensitivity theorems and proofs, Perron-Frobenius Theory, Stochastic Complementation, computation of MATLAB codes, Aitken extrapolation, HITS algorithms, Eigenvectors and Eigenvalues sound like the makings for a enjoyable day of reading, then it is unlikely you will get a lot of value from attempting to read this very informative book. Had I gone beyond algebra and statistics in college, the book would have been more helpful for me, too.

In short, I had thought being armed with this knowledge would somehow allow me to shortcut the process of page ranking. What it did was to reinforce that having relevant content, relevant inbound links, being active in the social networking scene and taking advantage of video, are some of the best ways to find you pages at the top of Google Search Engine Result Pages [SERP].

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