• Title: Invisible Search and Online Search Engines: The Ubiquity of Search in Everyday Life
• Author(s) Jutta Haider, Olof Sundin
• Publisher: Routledge; 1st edition (March 14, 2019); eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Hardcover: 152 pages
• eBook: PDF (161 pages) and Read Online
• Language: English
• ISBN-10: 1138328618
• ISBN-13: 978-1138328617
• Share This:  

Book Description

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.

• Jutta Haider is an Associate Professor in Information Studies at the Department of Arts and Cultural Sciences, Lund University, Sweden.
• Olof Sundin is Professor in Information Studies at the Department of Arts and Cultural Sciences, Lund University, Sweden.

• Amazon

• Information Retrieval (IR) and Search Engines
• Data Analysis and Data Mining
• Algorithms and Data Structures

• Invisible Search and Online Search Engines: The Ubiquity of Search in Everyday Life
• The Mirror Site (1) - PDF
• The Mirror Site (2) - PDF

• Search Engines: Information Retrieval in Practice

  Written by a leader in the field of information retrieval, it is designed to give students the understanding and tools they need to evaluate, compare and modify search engines. It is also a valuable tool for search engine and information retrieval professionals.

• Entity-Oriented Search (Krisztian Balog)

  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.

• Introduction to Information Retrieval (Christopher Manning, et al)

  This book covers all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections.

• Mathematics for Classical Information Retrieval: Roots and Apps

  This book is about Information Retrieval (IR), particularly Classical Information Retrieval (CIR). The primary goal of book is to create a context for understanding the principles of CIR by discussing its mathematical bases.

• Information Retrieval Interaction (Peter Ingwersen)

  The aims of the book are to establish a unifying scientific approach to IR - a synthesis based on the concept of IR interaction and the Cognitive Viewpoint, and to generate a consolidated framework - the Mediator Model.

• Engines of Order: A Mechanology of Algorithmic Techniques

  This book examines the constructive and cumulative character of software and retraces the historical trajectories of a series of algorithmic techniques that have become the building blocks for contemporary practices of ordering.

• Introduction to Metadata: 3rd Edition (Murtha Baca, et al)

  Provides an overview of Metadata - its types, roles, and characteristics; a discussion of metadata as it relates to resources on the Web; a description of methods, tools, standards, and protocols that can be used to publish and disseminate digital collections;

• Describing Data Patterns: A Deconstruction of Metadata Standards

  It analyzes the methods, technologies, standards, and languages to structure and describe data in their entirety. It reveals common features, hidden assumptions, and ubiquitous patterns among these methods and shows how data are actually structured and described.

• Barcode Overview (TEC-IT)

  This book will serve as your guide to barcodes as it will explain what Barcodes are, their composition and purpose, and how they can help your company save time and money. It explains how you can implement them efficiently.

• Text Mining with R: A Tidy Approach (Julia Silge, et al)

  You'll explore text-mining techniques with tidytext, a package that authors developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.

• Think Data Structures: Algorithms and Information Retrieval

  This practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. Useful in technical interviews too.

• O'Reilly® Elasticsearch: The Definitive Guide (Clinton Gormley)

  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.

• Apache Solr Succinctly (Xavier Morera)

  This book 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.

• Information Retrieval: Uncertainty and Logics (C. J. van Rijsbergen)

  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.

• Information Retrieval: A Survey (Ed Greengrass)

  This book is a tutorial and survey of the state of the art, both research and commercial, in the dynamic field of Information Retrieval. Topics: formulation of structured and unstructured queries and topic statements, indexing of document collections, etc.

• Data-Intensive Text Processing with MapReduce (Jimmy Lin)

  This free book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning.