PDF Ebook Information Retrieval: Implementing and Evaluating Search Engines (MIT Press), by Stefan Büttcher, Charles L. A. Clarke, Gordon V. Co
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Information Retrieval: Implementing and Evaluating Search Engines (MIT Press), by Stefan Büttcher, Charles L. A. Clarke, Gordon V. Co
PDF Ebook Information Retrieval: Implementing and Evaluating Search Engines (MIT Press), by Stefan Büttcher, Charles L. A. Clarke, Gordon V. Co
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Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus -- a multiuser open-source information retrieval system developed by one of the authors and available online -- provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.
- Sales Rank: #868790 in Books
- Published on: 2016-02-19
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x .81" w x 8.00" l, .0 pounds
- Binding: Paperback
- 632 pages
Most helpful customer reviews
7 of 7 people found the following review helpful.
Comprehensive coverage
By V. Fernandes
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.
5 of 5 people found the following review helpful.
Excellent, Accessible Treatment of Technical Material
By Craig Ball
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.
3 of 3 people found the following review helpful.
Great to combine with Manning's IR book
By Sandro Skansi
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).
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