Information Retrieval (IR) and Search Engines

Search Engine Optimization (also known as search engine optimisation or SEO) is touted as being very difficult. It is if you don't know what you are doing but, given the tools and the know-how, any business can optimise their website so that's it's noticed more by search engines like Google.

This book is a concise and clear introduction to the art of search engine optimization and marketing. It presents current website optimization strategies, discusses their pitfalls and builds the foundations for long term success. Readers will discover how to get their website listed on the major search engines quickly and for free, analyze and beat their competitors' strategies, increase their search engine rankings and boost the number and quality of visitors.

Search is everywhere, yet it is one of the most misunderstood functionalities of the IT industry. In Apache Solr Succinctly, author Xavier Morera guides you through the basics of this highly popular enterprise search tool. You'll learn how to set up an index and how to make it searchable, then query it with a simple enterprise search. Explanations for precision and recall are also included to help you ensure that relevant, accurate results have been returned. Custom UIs using Solritas and SolrNet are also covered.

This report is a tutorial and survey of the state of the art, both research and commercial, in the dynamic field of Information Retrieval. The topics covered include: formulation of structured and unstructured queries and topic statements, indexing of document collections, methods for computing the similarity of queries and documents, classification and routing of documents in an incoming stream to users on the basis of topic or need statements, etc.

This book contains a collection of exciting papers proposing, developing and implementing logical Information Retrieval (IR) models. This book is appropriate for use as a text for a graduate-level course on Information Retrieval or Database Systems, and as a reference for researchers and practitioners in industry.

Whether you need full-text search or real-time analytics of structured data - or both - the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships.

Information Retrieval Interaction (IR) is defined as the interactive communication processes that occur during the retrieval of information by involving all the major participants in information retrieval (IR), i.e. the user, the intermediary, and the IR system.

This book is about Information Retrieval (IR), particularly Classical Information Retrieval (CIR). It looks at these topics through their mathematical roots. The mathematical bases of CIR are briefly reviewed, followed by the most important and interesting models of CIR, including Boolean, Vector Space, and Probabilistic. The primary goal of book is to create a context for understanding the principles of CIR by discussing its mathematical bases.

This is the first book that gives you a complete picture of the complications that arise in building a modern web-scale search engine. You'll learn about ranking SVMs, XML, DNS, and LSI. You'll discover the seedy underworld of spam, cloaking, and doorway pages.

This open access book covers all facets of entity-oriented search - where "search" can be interpreted in the broadest sense of information access - from a unified point of view, and provides a coherent and comprehensive overview of the state of the art.

This book is ideal for introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. It is also a valuable tool for search engine and information retrieval professionals.

This open access book summarizes the first two decades of the NII Testbeds and Community for Information access Research (NTCIR). The book is unique in that it discusses not just what was done at NTCIR, but also how it was done and the impact it has achieved.

This book is the first book to approach search and search engines from a perspective that combines insights from the technical expertise of information science research with a social science and humanities approach.

This is the first book that gives you a complete picture of the complications that arise in building a modern web-scale search engine. You'll learn about ranking SVMs, XML, DNS, and LSI. You'll discover the seedy underworld of spam, cloaking, and doorway pages.