We're still working on our article for Search APIs. Please check back soon for more information.
m5fk91|
Find a path to becoming a Search APIs. Learn more at:
OpenCourser.com/topic/m5fk91/search
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Search APIs.
Similar to Modern Information Retrieval, this textbook presents a comprehensive overview of the principles and technologies underlying search engines.
Elasticsearch powerful open-source search engine that is perfect for large datasets. provides a comprehensive overview of Elasticsearch, from installation to advanced features. It must-read for anyone who wants to use Elasticsearch to its full potential.
Lucene powerful open-source search engine library. provides a comprehensive guide to using Lucene, from basic to advanced features. It must-read for anyone who wants to use Lucene to build a search engine.
Provides a comprehensive overview of search patterns. It covers a wide range of topics, from the basics of search patterns to advanced topics such as search personalization and search trends. It must-read for anyone who wants to learn more about how people search.
Provides a concise yet comprehensive introduction to the field of information retrieval, covering both foundational concepts and practical applications.
Provides a comprehensive overview of search user interfaces (UIs). It covers a wide range of topics, from the basics of UI design to advanced topics such as personalization and relevance. It must-read for anyone who wants to design a better search UI.
Provides a comprehensive overview of semantic web search. It covers a wide range of topics, from the basics of semantic web technologies to advanced topics such as ranking and evaluation. It must-read for anyone who wants to learn more about how to use semantic web technologies to improve search results.
Provides a comprehensive overview of enterprise search. It covers a wide range of topics, from the basics of enterprise search to advanced topics such as security and compliance. It must-read for anyone who wants to learn more about how to use enterprise search to improve their business.
Provides a broad overview of web search, from the basics of web search to advanced topics such as ranking and relevance. It great resource for anyone who wants to learn more about how web search works.
Provides a broad overview of search, from the history of search to the future of search. It great resource for anyone who wants to learn more about the big picture of search.
Explores search strategies for handling big data, covering techniques for indexing, retrieval, and query optimization.
Introduces a Bayesian approach to information retrieval, providing a theoretical framework for ranking and relevance assessment.
Examines the design and evaluation of search user interfaces, including techniques for query formulation and result presentation.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/m5fk91/search
Save
