[PDF.76vr] Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science)

Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science)

[PDF.gx99] Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science)

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 | #9215740 in Books |  Springer |  1998-09-30 | Original language:English | PDF # 1 |  9.21 x.75 x6.14l,1.27 | File type: PDF | 254 pages

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||0 of 0 people found the following review helpful.| Good coverage on what it covers|By Mitch Haile|This is an odd book. Some of what it covers, it covers extremely well and succinctly. However, this book cannot stand alone as your only IR book--there's too many important topics missing. Manning's book is a better initial starting point in terms of breadth. However, given that the subtitle is "Algorithms and Heuristics", I su| |From the reviews of the second edition: |"This is a book that has great breadth and depth a ] . If you are a computer science student a ] this is an excellent textbook. It has comprehensive coverage of different approaches a ] . Headings are relevant to the co

Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions ...

You can specify the type of files you want, for your device.Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science)   |  David A. Grossman, Ophir Frieder. I was recommended this book by a dear friend of mine.

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