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Introduction to Search with Sphinx: From installation to relevance tuning

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I can’t quite believe it, but just 10 years ago there was no Google.

Other web search engines were around back then, such as AltaVista, HotBot, Inktomi, and AllTheWeb, among others. So the stunningly swift ascendance of Google can settle in my mind, given some effort. But what’s even more unbelievable is that just 20 years ago there were no web search engines at all. That’s only logical, because there was barely any Web! But it’s still hardly believable today.

The world is rapidly changing. The volume of information available and the connection bandwidth that gives us access to that information grows substantially every year, making all the kinds—and volumes!—of data increasingly accessible. A 1-million-row database of geographical locations, which was mind-blowing 20 years ago, is now something a fourth-grader can quickly fetch off the Internet and play with on his netbook. But the processing rate at which human beings can consume information does not change much (and said fourth-grader would still likely have to read complex location names one syllable at a time). This inevitably transforms searching from something that only eggheads would ever care about to something that every single one of us has to deal with on a daily basis.

This concise introduction to Sphinx shows you how to use this free software to index an enormous number of documents and provide fast results to both simple and complex searches. Written by the creator of Sphinx, this authoritative book is short and to the point.

  • Understand the particular way Sphinx conducts searches
  • Install and configure Sphinx, and run a few basic tests
  • Issue basic queries to Sphinx at the application level
  • Learn the syntax of search text and the effects of various search options
  • Get strategies for dealing with large data sets, such as multi-index searching
  • Apply relevance and ranking guidelines for presenting best results to the user
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