Preface
I first became fascinated by information retrieval during my time as a student at the University of Sydney. Back in those days, finding what you wanted on the Web was an art form. I used to have a list of about six or seven search engines that I used every time I had a query and even then I had to page through their results before I found what I was looking for. As the Web exploded it seemed like it was getting harder to find what I was looking for. Then, during my last year at university, I found that more and more I was turning to a single search engine for all my queries and most of the time I didn’t even need to click past the first page of results. A newcomer at the time, Google had gone on to demonstrate, through its success, the importance of accurate information retrieval on the Web.
Around that time I was writing a statistical based natural language parser for my honors thesis, so I was no stranger to large-scale text processing. After a few years working as an IT consultant, I was really keen to get back to work on something algorithmically interesting. In 2004, I had left the corporate life to go and train in Judo at the Kodokan in Japan, and I found myself with a little spare time on my hands. I also had a new-found interest in the Ruby programming language, which was perfect for most of the little side projects I was working on except for one thing: it was missing a good information retrieval library. This was the perfect project for me to learn Ruby and to get ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access