PDF Ebook , by Stefan Büttcher
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, by Stefan Büttcher
PDF Ebook , by Stefan Büttcher
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Product details
File Size: 14389 KB
Print Length: 632 pages
Publisher: The MIT Press (July 23, 2010)
Publication Date: July 23, 2010
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B008H5PXW0
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Amazon Best Sellers Rank:
#930,875 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Great book, it actually is more on the data/storage/indexing side than Manning's Information Retrieval (which is more on the NLP side), but that what I like about it, it nicely complements Manning. If you are coming to IR from databases, read this one first, if you are coming from NLP read Manning's first, but read them both (i.e. don't be fooled in thinking you can get away with just getting one and not the other).
This book is very well organized and covers all the issues associated with information retrieval very well. It is not a light book, I plan on going back and reading it again after a first pass. I am reading this book concurrently with Lucene in Action by Michael McCandless and it is cool to see how the theory is applied in practice.Lucene in Action, Second Edition: Covers Apache Lucene 3.0 I am returning to relearn IR and this book is making it fun.
I learned a fair amount from this book. It content is well organized. The discussions are clear and supported by good examples. I found very few typos.My main concern about this book is that it is a bit dated at this point (late 2016). I hope the authors come out with a new edition soon. Still, the basics of the subject have not changed that much, so this fact alone should not discourage you from reading.
I don't really love it, but I'm going to have to defer to other reviewers because I don't think I'm going to make it through. Call if overconfidence in my own abilities, lack of respect for the stated prerequisites, or just plain old age, but this book is too much for me. I guess I thought i could get some snippets of code and make a homemade search engine or something, but it turns out that instead it just brought back memories of the class I dreaded most from my college career: Statistics 201 (or something.like that). Seems very well written from the introductory material that I did make it though, and if I was more mathematically ambitious I would keep plowing on through and surely pick up some good information. Like most of my big, bright ideas, the actual implementation phase is what kills me.
Excellent book, topics are treated well and in a proper order. The bibliografÃs and exercises are right handed.
This book arranges lots of equations on information retrieval. But I rather think, the book Search Engines Information Retrieval in Practice is a little bit better than this...Not Brilliant.
The authors assume readers will hold a degree in computer science, computer engineering, software engineering and be familiar with analysis of algorithms and time complexity. Sadly, that is not me. I wouldn't know a probability mass function from a communion wafer; but, I nevertheless found the concepts explained in lucid ways that my lawyer brain could grasp, and the splendid organization allowed me to progress much further than my liberal arts background should allow. This is fine book, and a surprisingly engaging read. If you are not comfortable with such things, you may find the complex equations later in the book to be daunting; but, don't despair. The prose is clear and the examples offered easy to understand. Information retrieval is the lifeboat that will keep us from drowning in a growing sea of data. It's worth the effort to fathom.
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