Search engines: information retrieval practice (English)

by by Bruce Croft Author Donald Metzler Author Trevor Strohman Author 1st Edition Addison Wesley Paperb

Paperback. Pub October 2009 520 English in China Machine Press Search the practice of information retrieval (English) describes the key issues in the information retrieval (1R). And how these issues affect the search engine's design and implementation. and strengthen the important concepts with mathematical models. For this important topic in Web search engine. book covers mainly the search technology widely used on the network. Search information retrieval practice (English) applies to institutions of higher learning in computer science or computer engineering undergraduates. graduate students. professionals. search information retrieval practice (English) may well be a the ideal introductory textbooks. 1 Search Engines and Information Retrieval1.1 What Is Information Retrieval1.2 The Big Issues1.3 Search...

Genres: Computer Science, Nonfiction, Technology, Artificial Intelligence

Paperback

First published February 16, 2009

Reviews

[Gregor Erbach · Rating 5 out of 5]

A clearly written and well-structured introduction to the science and technology of search engines. The book covers all aspects of search engines from crawling to the web all the way to the ranking and presentation of the result list in a clear, well-structured and rigorous fashion. The book includes the major algorithms and data structures, as well as explaining the mathematical models of ranking results, categorization and clustering. Practical problems like character encoding, document formats and multilingual retrieval are addressed in sufficient detail. The focus of the book is on the standard approaches in full-text search engines, and the final chapters give brief introductions to related topics like audio, image and music retrieval and emerging fields like social search and peer-to-peer search. The book contains plenty of references to the latest research. The book can be highly recommended for students of computer science.

[Robert Goss · Rating 3 out of 5]

I originally read this in UARKs Information Retrieval course taught by Dr. Gauch, and it greatly accelerated my skills in different topics. Revisiting in 2025, unfortunately it is a bit outdated in some areas due to the rise of LLMs

[Samuel Situmeang · Rating 4 out of 5]

This is a pretty good textbook for introduction to the information retrieval.

[Ushan · Rating 3 out of 5]

This is an undergraduate-level textbook explaining how search engines work. It discusses in reasonable detail, how a search engine crawls the Web, prepares the documents for indexing, creates and stores the indexes, and processes the queries to retrieve the documents. Other chapters discuss classifying the documents into clusters, social search in an online community, and retrieval with understanding that documents have structure (refer to entities, have dependencies between words) as opposed to being simple bags of words.

[Todd · Rating 4 out of 5]

Possibly the only book on IR that really helped me understand the nature of the beast. It could have used some SOLR or Lucene instead of Galago, and Java isn't really my favorite programming language even though we use it on my search product. Nevertheless, it's a valuable book and you should digest it completely if you want to know how to make a search engine.

[Yu Sing song · Rating 5 out of 5]

good