Modern information retrieval

What Hacker News says

1. ssnNov 2022
   Three reference textbooks are available openly:

   * Introduction to Information Retrieval, http://informationretrieval.org/

   * Information Retrieval in Practice, http://www.search-engines-book.com/

   * Entity-Oriented Search, https://eos-book.org/

   Modern Information Retrieval is also a classic reference. Not openly available but some contents are (were?) available online. Their site seems to be down but the Internet Archive has a copy.

   Additional resources here:

   * https://nlp.stanford.edu/IR-book/information-retrieval.html http://web.archive.org/web/20220708135205/http://grupoweb.up...

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2. EmoreMay 2011
   For the record, the Google exec (Berthier Ribeiro-Neto) is the co-author of "Modern Information Retrieval" [1], an excellent book and close to a standard text on IR.

   [1] http://www.amazon.com/Modern-Information-Retrieval-Ricardo-B...

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3. varkJun 2010
   - Modern Information Retrieval by Baeza Yates

   - Data Mining Book by Jiawei Han et al

   - Managing Gigabytes by Witten et al

   - Hypertext Mining book by Chakrabarti

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4. wheelsFeb 2009
   Looks like a great introduction. My copy of Modern Information Retrieval (1999) is starting to show its age as well and from glancing through the table of contents, as pointed out in Greg's post, this really seems to hit a lot of the recent trends in IR. Up to chapter 11 is kind of a review of traditional IR and then from chapter 11 on it has a pretty impressive chunk of IR from the last decade (which is often what's missing in introductory texts). Added to my Amazon wishlist. :-)
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5. diegoApr 2012
   LinkedIn, Mountain View, CA. Local only. Our search back-end team is growing, and we are looking for an experienced manager for it. Job description pasted below.

   Email dbasch AND iperisic at linkedin dot com

   Responsibilities:

   · You will lead an innovative team of software developers to design, build and maintain our search infrastructure. · You'll lead through uncertainty and collaborate with other engineering teams, Business Development, Legal, and teams across the organization to make things happen to achieve desired results.

   Requirements:

   · Deep Software Technical Skills: You are deeply technical, understand how to break down problems and design extensible solutions. You have ample development experience in Java (preferably also C++ or other JVM-based languages such as Scala), as well as scripting languages. You know how to scale systems to a billion calls per day, how to parallelize requests, and how to build infrastructure and APIs for softwareservices. You have experience building large-scale information retrieval solutions, and understand search engines inside and out. You are intimately familiar with concepts such as garbage collection algorithms, parsing, lexing, building inverted indexes, ranking algorithms, etc. You have deep knowledge of the fundamental concepts discussed in books such as Modern Information Retrieval or Managing Gigabytes. · You likely have a BS, MS or PhD in Computer Science or closely related field.

   · Management and Cross-Organizational Influence: You have demonstrated successful leadership in building and leading small, high-performance engineering teams. You understand the value of relationships and are highly effective at influencing cross-organizational teams to implement internal component APIs to meet the needs of external consumers. You communicate effectively to all levels inside the company and with partners. · You're a very hands-on technical manager who can influence and lead the architecture, design and development of a scalable, high performance, and high reliability platform.

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6. klt0825Dec 2011
   I actually used this as a supplement to Modern Information Retrieval (http://www.amazon.com/Modern-Information-Retrieval-Concepts-...) for my IR class this semester. I found the Stanford book to be much more detailed in terms of the mathematical formalities behind the models/concepts and ended up preferring it.
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