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  • NOTE: There are currently 36 books in Springer's the Information Retrieval Series, not all are listed below.
  • NOTE: If you are interested in volumes published by Pearson, Manning, Apress, Packt, O'Reilly, Chapman Hall/CRC, Morgan Kaufmann, or Addison-Wesley, you may want to consider a subscription to O'Reilly Learning which includes access to a number of volumes from these publishers (check if your specific volumes are included).

General Audience

  • Dirk Lewandowski. Understanding Search Engines. Springer, 3/2023. 307 pp.
  • Alexander Halavais. Search Engine Society. Digital Media and Society, 11/2017. 240 pp.
  • Ian H. Witten, Marco Gori, Teresa Numerico. Web Dragons: Inside the Myths of Search Engine Technology. Morgan Kaufmann, 7/2010.

Ethics

  • Rosie Graham. Investigating Google's Search Engine: Ethics, Algorithms, and the Machines Built to Read Us. Bloomsbury Academic, 1/2023. 256 pp.
  • Safiya Umoja Noble. Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press, 2/2018. 248 pp.

Core

  • W. Bruce Croft, Donald Metzler, Trevor Strohman. Search Engines: Information Retrieval in Practice. Pearson, 2/2009. 552 pp.
  • Christopher D. Manning, Hinrich Schütze, Prabhakar Raghavan. Introduction to Information Retrieval. Cambridge University Press, 7/2008. 506 pp.
  • Stefan Buttcher, Charles L. A. Clarke, Gordon V. Cormack. Information Retrieval: Implementing and Evaluating Search Engines. The MIT Press, 2/2016. 632 pp.
    • Significant portions of the 2010 edition of this book are available for free from the official site. There are 16 chapters in that edition with 7 available for free.
    • It appears that the 2016 edition is a reprint of the 2010 edition verbatim.
  • Ricardo Baeza-Yates, Berthier Ribeiro-Neto. Modern Information Retrieval: The Concepts and Technology Behind Search, 2nd edition. Addison-Wesley Professional, 2/2011. 913 pp.

User Perspective

  • Karen Markey. Online Searching: A Guide to Finding Quality Information Efficiently and Effectively. Rowman & Littlefield Publishers, 3rd edition. 2/2023. 294 pp.
    • Focused on the user experience of searching, not building, but may be helpful, especially for those new to the field as it addresses some terminology and usability concerns.
  • Duncan O. Case. Looking for Information: A Survey of Research on Information Seeking, Needs, and Behavior, 4th edition. Emerald Publishing Limited, 4/2016. 528 pp.

Practical

  • Jay M. Patel. Getting Structured Data from the Internet: Running Web Crawlers/Scrapers on a Big Data Production Scale. Apress, 11/2020. 420 pp.
  • Tommaso Teofili. Deep Learning for Search. Manning Publications, 6/2019. 328 pp.
  • John Berryman, Doug Turnbull. Relevant Search: With applications for Solr and Elasticsearch. Manning Publications, 6/2016. 360 pp.
  • Martin White. Enterprise Search, 2nd edition. O'Reilly Media, 10/2015. 310 pp.

Lucene

  • Atri Sharma. Practical Lucene 8: Uncover the Search Capabilities of Your Application. Apress, 10/2020. 114 pp.
  • Edwood Ng, Vineeth Mohan. Lucene 4 Cookbook. Packt Publishing, 6/2015. 220 pp.
  • Michael McCandless, Erik Hatcher, Otis Gospodnetic. Lucene in Action, 2nd edition. Manning Publications, 7/2010. 475 pp.

Solr

  • Dikshant Shahi. Apache Solr: A Practical Approach to Enterprise Search. Apress, 12/2015. 328 pp.
  • Xavier Morera. Apache Solr Succinctly. Syncfusion, 4/2015. 141 pp.
  • Rafal Kuc. Solr Cookbook, 3rd edition. Packt Publishing, 1/2015. 356 pp.
  • Trey Grainger, Timothy Potter. Solr in Action. Manning Publications, 3/2014. 664 pp.

Elasticsearch

  • Note: Some of these volumes address to more or less extent the Elastic / ELK Stack, this is about IR but more on a monitoring, logging side than web search.
  • Madhusudhan Konda. Elasticsearch in Action, 2nd edition. Manning Publications, 10/2023. 592 pp.
  • Alberto Paro. Elasticsearch 8.x Cookbook, 5th edition. Packt Publishing, 5/2022. 750 pp.
  • Asjad Athick, Shay Banon. Getting Started with Elastic Stack 8.0. Packt Publishing, 3/2022. 474 pp.
  • Wai Tak Wong. Advanced Elasticsearch 7.0. Packt Publishing, 8/2019. 560 pp.
  • Pranav Shukla, Sharath Kumar M N. Learning Elastic Stack 7.0, 2nd edition. 5/2019. 474 pp.
  • Abhishek Andhavarapu. Learning Elasticsearch. Packt Publishing, 6/2017. 404 pp.
  • Bharvi Dixit. Mastering Elasticsearch 5.x, 3rd edition. 2/2017. 428 pp.
  • Bharvi Dixit. Elasticsearch Essentials. Packt Publishing, 1/2016. 240 pp.
  • Rafał Kuć, Marek Rogoziński. Mastering Elasticsearch, 2nd edition. Packt Publishing, 2/2015. 434 pp.
  • Clinton Gormley, Zachary Tong. Elasticsearch: The Definitive Guide. O'Reilly Media, 1/2015. 724 pp.
  • Rafał Kuć, Marek Rogoziński. Elasticsearch Server, 3rd edition. Packt Publishing, 2/2016. 556 pp.

Spark

  • Alex Thomas. Natural Language Processing with Spark NLP. O'Reilly Media, 6/2020. 364 pp.

Sphinx

  • Andrew Aksyonoff. Introduction to Search with Sphinx. O'Reilly Media, 4/2011. 148 pp.

Information Architecture

  • Louis Rosenfeld, Peter Morville, Jorge Arango. Information Architecture: For the Web and Beyond, 4th edition. O'Reilly, 9/2015. 483 pp.
  • Gerald Kowalski. Information Retrieval Architecture and Algorithms. Spring, 2011.

Collaborative

  • Chirag Shah. Social Information Seeking: Leveraging the Wisdom of the Crowd. Springer, 7/2017. 204 pp.
  • Chirag Shah. Collaborative Information Seeking: The Art and Science of Making the Whole Greater Than the Sum of All. Springer, 8/2014. 206 pp. (Vol. 34)
  • Satnam Alag. Collective Intelligence in Action. Manning Publications, 9/2008. 425 pp.

Springer The Information Retrieval Series

  • Jiqun Liu. A Behavioral Economics Approach to Interactive Information Retrieval. Springer, 2/2023. 400 pp. (Vol. 48)
  • Yi Chang, Hongbo Deng (editors). Query Understanding for Search Engines. Springer, 12/2021. 236 pp. (Vol. 46)
  • Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell. Neural Approaches to Conversational Information Retrieval. Springer, 3/2023. 405 pp. (Vol. 44)
  • Tetsuya Sakai, Douglas W. Oard, Noriko Kando. Evaluating Information Retrieval and Access Tasks. Springer, 9/2020. (Vol. 43)
  • Deepak P., et al. Data Science for Fake News. Springer, 4/2021. (Vol. 42)
  • Nicola Ferro, Carol Peters. Information Retrieval Evaluation in a Changing World: Lessons Learned from 20 Years of CLEF. Springer, 8/2019. (Vol. 41)
  • Tetsuya Sakai. Laboratory Experiments in Information Retrieval. Springer, 9/2018. (Vol. 40)
  • Krisztian Balog. Entity-Oriented Search. Springer, 10/2018. 370 pp. (Vol. 39)
  • Chirag Shah. Social Information Seeking. Springer, 7/2017. (Vol. 38)
  • Peter Knees, Markus Schedl. Music Similarity and Retrieval. Springer, 5/2016. 319 pp. (Vol. 36)
  • Massimo Melucci. Introduction to Information Retrieval and Quantum Mechanics. Springer, 12/2015. 250 pp. (Vol. 35)
  • Chirag Shah. Collaborative Information Seeking. Springer, 7/2012. (Vol. 34)
  • Donald Metzler. A Feature-Centric View of Information Retrieval. Springer, 9/2011. 334 pp. (Vol. 27)
  • Gionvanni Maria Sacco, Yannis Tzitzikas. Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience. Spring, 8/2009. 357 pp. (Vol. 25)

Other Springer

  • Aidan Hogan. The Web of Data. Springer, 2020. 697 pp.*
  • C. Maria Keet. The What and How of Modelling Information and Knowledge: Mind Maps to Ontologies. Springer, 2023. 192 pp.
  • Juanzi Li, Guillin Qi, Dongyan Zhao, Wolfgang Nejdl, Hai-Tao Zheng, eds. Semantic Web and Web Science. Springer, 2013. 413 pp.

Uncategorized

  • Anuradha D. Thakare, Shilpa Laddha, Ambika Pawar. Hybrid Intelligent Systems for Information Retrieval. Chapman Hall/CRC, 11/2022. 252 pp.
  • Jiawei Han, Jian Pei, Hanghang Tong. Data Mining: Concepts and Techniques, 4th edition. Morgan Kaufmann, 7/2022. 752 pp.
  • Nicole Tonellotto, Craig Macdonald, Iadh Ounis. Efficient Query Processing for Scalable Web Search. 6/2019. 132 pp.
  • Jutta Haider, Olof Sundin. Invisible Search and Online Search Engines. Routledge: Taylor & Francis Group, 2019. 151 pp.
  • ChengXiang Zhai and Sean Massung. Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining. ACM Books, 6/2016. 532 pp.
  • Bo Long, Yi Chang. Relevance Ranking for Vertical Search Engines. Morgan Kaufmann, 1/2014. 264 pp.
  • Gerald Kowalski. Information Retrieval Systems: Theory and Implementation. Springer, 3/2013. 300 pp.
  • Tyler Tate, Tony Russell-Rose. Designing the Search Experience: The Information Architecture of Discovery. Morgan Kaufmann, 1/2013. 320 pp.
  • Dirk Lewandowski, ed. Web Search Engine Research. Emerald Publishing Limited, 4/2012. 322 pp.
  • Giovanni Maria Sacco, Yannis Tzitzikas (editors). Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience. Springer, 3/2012. 357 pp.
  • Amy N. Langville, Carl D. Meyer. Google's PageRank and Beyond: The Science of Search Engine Rankings. Princeton University Presss, 2/2012. 240 pp.
  • Marcia J. Bates. Understanding Information Retrieval Systems: Management, Types, and Standards. Auerbach Publications, 12/2011. 752 pp.
  • Tie-Yan Liu. Learning to Rank for Information Retrieval. Springer, 4/2011. 302 pp.
  • Peter Morville, Jeffery Callender. Search Patterns: Design for Discovery. O'Reilly, 2/2010. 192 pp.
  • Maria Stone. Understanding and Evaluating Search Experience. Morgan & Claypool Publishers, 2020.
  • Irina Shamaeva, David Michael Galley. Custom Search - Discover more: A Complete Guide to Google Programmable Search. CRC Press, 2021. 184 pp. Grace Hui Yang, Marc Sloan, Jun Wang. Dynamic Information Retrieval Modeling. Springer, 2016. 146 pp. Wei Ding, Xia Lin. Information Architecture: The Design and Integration of Information Spaces. Springer, 2009. 149 pp.

Older

  • Michael W. Berry, Murray Browne. Understanding Search Engines: Modeling and Text Retrieval, 2nd edition. Society for Industrial and Applied Mathematics, 5/2005. 184 pp.
  • David A. Grossman, Ophir Frieder. Information Retrieval: Algorithms and Heuristics. Springer, 10/2004. 352 pp.
  • Gerhard Weikum, Gottfried Vossen. Transactional Information Systems: Theory, Algorithms, and the Practice of Concurrency Control and Recovery. Morgan Kaufmann, 6/2001. 872 pp.
  • Richard K. Belew. Finding Out About: A Cognitive Perspective on Search Engine Technology and the WWW. Cambridge University Press, 1/2001. 384 pp.
  • Ian H. Witten, Alistair Moffat, Timothy C. Bell. Managing Gigabytes: Compressing and Indexing Documents and Images, 2nd edition. Morgan Kaufmann, 5/1999. 560 pp.
  • Karen Sparck Jones, Peter Willett (editors). Readings in Information Retrieval. Morgan Kaufmann, 7/1997. 587 pp.
  • William Frakes, Ricardo Baeza-Yates (editors). Information Retrieval: Data Structures & Algorithms. Pearson College Divison, 1/1992. 464 pp.