%{search_type} search results

Google's Programmable Search Engines (PSEs, previously called Custom Search Engines) provide search opportunities that are unavailable with any other tool. PSEs have advanced settings and search operators that are not supported by "regular" Google. With PSEs, it is possible to perform filtered searches within parts of the web as if they were databases! While lots of professionals use existing PSEs to source for talent or with other research goals, few people have experience creating them. Even fewer know about powerful PSE-only search operators. The main reason PSEs are not as popular as they should be is that it is not easy to get educated on PSE creation. There is little information online and no books (other than this one) on the subject. Even less info is available on the "structured" operators that allow for filtered searches. The first of its kind, this book hopes to popularize these fun and powerful tools so that many more people can include PSEs in their work. Key Features: A detailed introduction to creating PSEs, including info absent in Google's help A "hack" for creating PSEs that look for profiles in seconds An introduction to advanced PSE-only search operators allowed to perform filtered searches of parts of the web A "hack" for expanding Google's search limits to 500 terms Use cases, examples, and approaches that would be educational for those doing online research This book will be of interest to researchers, OSINT specialists, investigative journalists, Competitive Intelligence people, recruiters, and Sourcers, to name a few categories, and to the general public interested in how to search better.
(source: Nielsen Book Data)

• Visions.-
• 1: Search Computing.-
• 2: Next Generation Web Search.-
• 3: Search for Knowledge.- Technology Watch for Search Computing.-
• 4: The Search Engine Industry.-
• 5: From Mashup Technologies to Universal Integration: Search Computing the Imperative Way.-
• 6: Web Data Extraction for Service Creation.-
• 7: Dataspaces.-
• 8: Multimedia and Multimodal Information Retrieval.- Issues in Search Computing.-
• 9: Service Marts.-
• 10: Join Methods and Query Optimization.-
• 11: Rank-Join Algorithms for Search Computing.-
• 12: Panta Rhei: Flexible Execution Engine for Search Computing Queries.-
• 13: Liquid Queries and Liquid Results in Search Computing.-
• 14: Building Search Computing Applications.-
• 15: Search Computing and the Life Sciences.- Appendix A: Search Computing Dictionary.
• (source: Nielsen Book Data)

Search computing, which has evolved from service computing, focuses on building the answers to complex search queries by interacting with a constellation of cooperating search services, using ranking and joining of results as the dominant factors for service composition. The field is multi-disciplinary in nature, and takes advantage of contributions from other research areas such as knowledge representation, human-computer interfaces, psychology, sociology, economics and legal sciences. The book is divided into three parts. The first part includes some visionary contributions on the latest trends in search, which is becoming increasingly task-oriented and is starting to use ontological knowledge in order to manage complex queries. The second part explores background and related technologies, which can be considered as parallel fields of research, useful both for setting the theoretical premises for search computing and for providing a technological framework for building search computing systems and applications. The third part delves into the conceptual and technological problems and issues arising when dealing with search computing as a new search paradigm. It provides a unified view of the results of the Search Computing project as achieved exactly one year after its starting date.
(source: Nielsen Book Data)

This book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene technologies, this is the book for you.
(source: Nielsen Book Data)

Get search engines to rank your site as the No. 1 result with help from this comprehensive resource What's the best hiding place in the world? The second page of Google's search results! If you want your website to be found, you need to make sure it appears prominently on search engines. In Search Engine Optimization All-in-One For Dummies, you'll find practical and easy-to-follow advice to increase your site's chances of landing that coveted No. 1 spot on Google, Bing, and other popular search engines. You'll discover how search engines decide which websites to rank highly, how to optimize your site for your best chance at the first page of organic results, what keywords to target, and even how to make your site internationally visible. You'll also find out how to: Optimize your webpage with responsive design that makes it irresistible to Google Create a keyword strategy that keeps interested and engaged visitors flowing to your website Generate the backlinks that will teach Google you're a trusted resource and help you climb the search engine results page Perfect for webmasters, bloggers, e-commerce professionals, and anyone else looking for more online visibility, Search Engine Optimization All-in-One For Dummies is a must-have guide to improving the quantity and quality of your web traffic

• Introduction : L'affaire Google
• Votre meilleur ami est un inconnu
• Le gratuit, combien ça coûte?
• Avez-vous encore des secrets pour Google?
• Une incroyable machine à cash
• Google, pirate ou corsaire?
• Un pacte avec le démon?
• Comprendre le succès de Google
• Une start-up à la conquête du monde
• Les intuitions géniales de deux jeunes étudiants
• À la poursuite de l'algorithme inconnu : le succès par le secret
• La plus grande agence de publicité du monde : la révolution du CPC
• Un expert de l'optimisation fiscale
• La neutralité du moteur de recherche : une illusion
• Des araignées qui parcourent le Web sans relâche
• Google est-il un robinet ou un filtre?
• Le fonctionnement problématique du moteur de recherche
• "Les Juifs sont..." : l'horreur démocratique du Web selon Google
• Droit de cuissage numérique : une marque cannibale
• Vers un monopole de l'accès au Web
• La menace de la cape d'invisibilité plane sur les entreprises
• Aujourd'hui vous vendez grâce à Google, demain il se passera de vous
• La logique du trou noir
• Des conflits en pagaille
• Pillage en règle : merci pour les contenus !
• Une chance pour la diffusion d'information?
• Google peut-il s'emparer de tous les livres du monde?
• Les éditeurs de presse dénoncent la stratégie du coucou
• La télévision connectée, Google en embuscade
• Ombre et lumière : le pire n'est pas encore certain, mais il est probable
• Confidentiel, vraiment ?
• Le facteur ne sonne pas, mais il sait lire
• Le gratuit vous coûte plus cher que vous ne croyez
• Notre vie privée est le prix du gratuit
• "Big Google is watching you"
• Demain tous masqués pour nous protéger?
• Au risque des libertés publiques
• Des Petit Poucet par millions montrant le chemin à l'ogre
• Et si l'outil tombait dans de mauvaises mains?
• Google protégé par le droit à la parole?
• Ange ou démon? L'entreprise "sympa"
• Face à Google, sommes-nous démunis ?
• "Stratégie générale d'élimination" des concurrents : la justice impuissante (pour l'instant)
• Un particulier aux pieds du géant : le cas d'un procès contre Facebook
• Demain, Google taillé en pièces
• Mieux vaut arrêter la pluie que multiplier les parapluies
• Une Europe mal armée pour lutter contre le géant
• Google a les moyens de convaincre beaucoup de monde
• Vers un démantèlement forcé de Google ?
• Conclusion : Devoir de vigilance et de conscience
• Google en circuit fermé
• La concurrence désarmée
• Mes quatre convictions
• La technique de l'anaconda.

""J'ai toujours pris la défense des consommateurs et des "usagers". Mais, cette fois, les enjeux dépassent le pouvoir d'achat des Français. L'émergence de Google fait peser une menace sur la protection de nos vies personnelles. Nous sommes analysés, scrutés et revendus dans des fichiers ad hoc aux annonceurs qui font la fortune du moteur de recherche. Google apporte la connaissance et les savoirs, certes ! Mais l'entreprise multimilliardaire a décidé de s'approprier les contenus : livres, informations, programmes télévisés. Bientôt, elle aura le pouvoir de diffuser SA version de la culture et du commerce en ligne. Il sera alors trop tard. Enfin, au moment où la France est appelée à produire un gros effort de redressement, Google, 1,5 milliard de chiffre d'affaires dans notre pays, a localisé ses activités en Irlande. Google, notre ami de tous les jours, échappe en grande partie à ses responsabilités fiscales." Transports, énergies, pouvoir d'achat, lutte contre les monopoles, Pascal Perri est un économiste iconoclaste, engagé auprès des consommateurs. Il est l'auteur de nombreux ouvrages d'économie pratique. Avec Google, un ami qui ne vous veut pas que du bien, il livre une analyse saisissante sur l'impact réel de Google et montre l'envers du décor."--P. [4] of cover.

• Google's first principles
• Google basics
• Google technology
• Google relevance ranking and search engine optimization
• Gmail and Google Maps : true virtual applications
• Google clustering : News and Enhanced Search
• Google Print and Scholar
• Google : a new force in enterprise search
• Google APIs : netting developers
• Google goes personal
• The Google "legacy."

• Part I: Google Web Search
• 1: Welcome to Google
• 2: Craft Your Searches
• 3: Find Specialized Information
• 4: Understand Search Results
• 5: Advanced Web Search
• 6: Make Searching Easier with Google Tools
• 7: Configure Google Part II: Google Features
• 8: Search News Sources with Google News
• 9: Search Discussion Forums with Google Groups
• 10: Find Pictures with Google Images
• 11: Browse Topics by Category with the Google Directory
• 12: Ask Researchers Questions with Google Answers
• 13: Find Bargains with Froogle
• 14: Other Cool Features Appendix: How Google Works.
• (source: Nielsen Book Data)

Get inside the massive search engine and learn how to make Google's enormous power work for you to find exactly what you need. This book helps you discover what librarians and researchers know and learn the best tactics and strategies for finding information on the Web, using Google search. It includes coverage of little-known Google features, such as the bargain-searching Froogle, a news service, an image search service, and more.
(source: Nielsen Book Data)

• Introduction: The power of algorithms
• A society, searching
• Searching for Black girls
• Searching for people and communities
• Searching for protections from search engines
• The future of knowledge in the public
• The future of information culture
• Conclusion: Algorithms of oppression
• Epilogue.

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"-what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls, " the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance-operating as a source for email, a major vehicle for primary and secondary school learning, and beyond-understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century. Safiya Noble discusses search engine bias in an interview with USC Annenberg School for Communication and Journalism.
(source: Nielsen Book Data)

• Acknowledgments
• Introduction: the power of algorithms
• A society, searching
• Searching for Black girls
• Searching for people and communities
• Searching for protections from search engines
• The future of knowledge in the public
• The future of information culture
• Conclusion: algorithms of oppression
• Epilogue
• Notes
• Bibliography
• Index
• About the author.

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"-what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls, " the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance-operating as a source for email, a major vehicle for primary and secondary school learning, and beyond-understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century. Safiya Noble discusses search engine bias in an interview with USC Annenberg School for Communication and Journalism.
(source: Nielsen Book Data)

• Acknowledgments
• Introduction: the power of algorithms
• A society, searching
• Searching for Black girls
• Searching for people and communities
• Searching for protections from search engines
• The future of knowledge in the public
• The future of information culture
• Conclusion: algorithms of oppression
• Epilogue
• Notes
• Bibliography
• Index
• About the author.

As seen in Wired and Time A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"-what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls, " the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance-operating as a source for email, a major vehicle for primary and secondary school learning, and beyond-understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century. Safiya Noble discusses search engine bias in an interview with USC Annenberg School for Communication and Journalism.
(source: Nielsen Book Data)

• Acknowledgments
• Introduction: the power of algorithms
• A society, searching
• Searching for Black girls
• Searching for people and communities
• Searching for protections from search engines
• The future of knowledge in the public
• The future of information culture
• Conclusion: algorithms of oppression
• Epilogue
• Notes
• Bibliography
• Index
• About the author.

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"-what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls, " the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance-operating as a source for email, a major vehicle for primary and secondary school learning, and beyond-understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.
(source: Nielsen Book Data)

Master the intricacies of Elasticsearch 7.0 and use it to create flexible and scalable search solutions Key Features Master the latest distributed search and analytics capabilities of Elasticsearch 7.0 Perform searching, indexing, and aggregation of your data at scale Discover tips and techniques for speeding up your search query performance Book Description Building enterprise-grade distributed applications and executing systematic search operations call for a strong understanding of Elasticsearch and expertise in using its core APIs and latest features. This book will help you master the advanced functionalities of Elasticsearch and understand how you can develop a sophisticated, real-time search engine confidently. In addition to this, you'll also learn to run machine learning jobs in Elasticsearch to speed up routine tasks. You'll get started by learning to use Elasticsearch features on Hadoop and Spark and make search results faster, thereby improving the speed of query results and enhancing the customer experience. You'll then get up to speed with performing analytics by building a metrics pipeline, defining queries, and using Kibana for intuitive visualizations that help provide decision-makers with better insights. The book will later guide you through using Logstash with examples to collect, parse, and enrich logs before indexing them in Elasticsearch. By the end of this book, you will have comprehensive knowledge of advanced topics such as Apache Spark support, machine learning using Elasticsearch and scikit-learn, and real-time analytics, along with the expertise you need to increase business productivity, perform analytics, and get the very best out of Elasticsearch. What you will learn Pre-process documents before indexing in ingest pipelines Learn how to model your data in the real world Get to grips with using Elasticsearch for exploratory data analysis Understand how to build analytics and RESTful services Use Kibana, Logstash, and Beats for dashboard applications Get up to speed with Spark and Elasticsearch for real-time analytics Explore the basics of Spring Data Elasticsearch, and understand how to index, search, and query in a Spring application Who this book is for This book is for Elasticsearch developers and data engineers who want to take their basic knowledge of Elasticsearch to the next level and use it to build enterprise-grade distributed search applications. Prior experience of working with Elasticsearch will be us...

• Table of Contents Introducing Elastic Stack Installing Elasticsearch Many as One - the Distributed Model Prepping Your Data - Text Analysis and Mapping Let's Do a Search! Performance Tuning Aggregating Datasets Best Practices.
• (source: Nielsen Book Data)

Get the most out of Elasticsearch 7's new features to build, deploy, and manage efficient applications Key Features Discover the new features introduced in Elasticsearch 7 Explore techniques for distributed search, indexing, and clustering Gain hands-on knowledge of implementing Elasticsearch for your enterprise Book DescriptionElasticsearch is one of the most popular tools for distributed search and analytics. This Elasticsearch book highlights the latest features of Elasticsearch 7 and helps you understand how you can use them to build your own search applications with ease. Starting with an introduction to the Elastic Stack, this book will help you quickly get up to speed with using Elasticsearch. You'll learn how to install, configure, manage, secure, and deploy Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. As you progress, you'll also understand how to troubleshoot any issues that you may encounter along the way. Finally, the book will help you explore the inner workings of Elasticsearch and gain insights into queries, analyzers, mappings, and aggregations as you learn to work with search results. By the end of this book, you'll have a basic understanding of how to build and deploy effective search and analytics solutions using Elasticsearch. What you will learn Install Elasticsearch and use it to safely store data and retrieve it when needed Work with a variety of analyzers and filters Discover techniques to improve search results in Elasticsearch Understand how to perform metric and bucket aggregations Implement best practices for moving clusters and applications to production Explore various techniques to secure your Elasticsearch clusters Who this book is forThis book is for software developers, engineers, data architects, system administrators, and anyone who wants to get up and running with Elasticsearch 7. No prior experience with Elasticsearch is required.
(source: Nielsen Book Data)

• Introduction
• Ways of searching the web
• How search engines capture and process content from the web
• User interaction with search engine
• Ranking search results
• Vertical search
• Search result presentation
• The search engine market
• Search engine optimization (SEO)
• Search engine advertising (SEA)
• Alternatives to google
• Search skills
• Search result quality
• The deep web
• Search engines between bias and neutrality
• The future of search.

"This book provides a broad introduction to search engines by integrating five different perspectives on Web search and search engines that are usually dealt with separately: the technical perspective, the user perspective, the internet-based research perspective, the economic perspective, and the societal perspective. After a general introduction to the topic, two foundational chapters present how search tools can cover the Webs content and how search engines achieve this by crawling and processing the found documents. The next chapter on user behavior covers how people phrase their search queries and interact with search engines. This knowledge builds the foundation for describing how results are ranked and presented. The following three chapters then deal with the economic side of search engines, i.e., Google and the search engine market, search engine optimization (SEO), and the intermingling of organic and sponsored search results. Next, the chapter on search skills presents techniques for improving searches through advanced search interfaces and commands. Following that, the Deep Web and how its content can be accessed is explained. The two subsequent chapters cover ways to improve the quality of search results, while the next chapter describes how to access the Deep Web. Last but not least, the following chapter deals with the societal role of search engines before the final chapter concludes the book with an outlook on the future of Web search. With this book, students and professionals in disciplines like computer science, online marketing, or library and information science will learn how search engines work, what their main shortcomings are at present, and what prospects there are for their further development. The different views presented will help them to understand not only the basic technologies but also the implications the current implementations have concerning economic exploitation and societal impact"-- Provided by publisher.

• Intro
• Preface
• Contents
• 1: Introduction
• 1.1 The Importance of Search Engines
• 1.2 A Book About Google?
• 1.3 Objective of This Book
• 1.4 Talking About Search Engines
• 1.5 Structure of This Book
• 1.6 Structure of the Chapters and Markings in the Text
• 1.7 Summary
• References
• 2: Ways of Searching the Web
• 2.1 Searching for a Website vs. Searching for Information on a Topic
• Is Searching the Web Like Looking for a Needle in a Haystack?
• 2.2 What Is a Document?
• 2.3 Where Do People Search?
• 2.4 Different Pathways to Information on the World Wide Web

• 2.4.1 Search Engines
• The Concept of the Algorithmic Search Engine in the 1990s
• 2.4.2 Vertical Search Engines
• Examples of Vertical Search Engines
• 2.4.3 Metasearch Engines
• 2.4.4 Web Directories
• 2.4.5 Social Bookmarking Sites
• 2.4.6 Question-Answering Sites
• 2.4.7 Social Networking Sites
• 2.5 Summary
• Further Reading
• References
• 3: How Search Engines Capture and Process Content from the Web
• Is YouTube a Search Engine?
• Why Do Search Engines Only Search a Copy of the Web and Not the Web Itself?
• 3.1 The World Wide Web and How Search Engines Acquire Its Contents

• Which Pages of a Blog Are Documents?
• 3.2 Content Acquisition
• 3.3 Web Crawling: Finding Documents on the Web
• What Information Can a Crawler ``See?́́
• When Was the Last Time a Search Engine Visited a Document?
• 3.3.1 Guiding and Excluding Search Engines
• 3.3.2 Content Exclusion by Search Engine Providers
• 3.3.3 Building the Database and Crawling for Vertical Collections
• 3.4 The Indexer: Preprocessing Documents for Searching
• 3.4.1 Indexing Images, Audio, and Video Files
• 3.4.2 The Representation of Web Documents in Search Engines

• How Can Information from the Anchor Texts Help with Searching?
• 3.5 The Searcher: Understanding Queries
• 3.6 Summary
• Further Reading
• References
• 4: User Interaction with Search Engines
• 4.1 The Search Process
• 4.2 Collecting Usage Data
• 4.3 Query Types
• 4.4 Sessions
• 4.5 Queries
• 4.5.1 Entering Queries
• 4.5.2 Autocomplete Suggestions
• 4.5.3 Query Formulation
• 4.5.4 Query Length
• 4.5.5 Distribution of Queries by Frequency
• How Often Are Particular Queries Made?
• 4.5.6 Query Trends
• 4.5.7 Using Operators and Commands for Specific Searches
• 4.6 Search Topics

• 4.7 Summary
• Further Reading
• References
• 5: Ranking Search Results
• What Should Be Counted as a Ranking Factor?
• 5.1 Groups of Ranking Factors
• 5.2 Text Statistics
• 5.2.1 Identifying Potentially Relevant Documents
• 5.2.2 Calculating Frequencies
• 5.2.3 Considering the Structural Elements of Documents
• 5.3 Popularity
• 5.3.1 Link-Based Rankings
• 5.3.1.1 PageRank
• 5.3.1.2 Development of Link-Based Rankings
• 5.3.2 Usage Statistics
• 5.3.2.1 Analyzing Clicks on Search Engine Result Pages
• 5.3.2.2 Collecting Data for Usage Statistics

This book provides a broad introduction to search engines by integrating five different perspectives on Web search and search engines that are usually dealt with separately: the technical perspective, the user perspective, the internet-based research perspective, the economic perspective, and the societal perspective. After a general introduction to the topic, two foundational chapters present how search tools can cover the Webs content and how search engines achieve this by crawling and processing the found documents. The next chapter on user behavior covers how people phrase their search queries and interact with search engines. This knowledge builds the foundation for describing how results are ranked and presented. The following three chapters then deal with the economic side of search engines, i.e., Google and the search engine market, search engine optimization (SEO), and the intermingling of organic and sponsored search results. Next, the chapter on search skills presents techniques for improving searches through advanced search interfaces and commands. Following that, the Deep Web and how its content can be accessed is explained. The two subsequent chapters cover ways to improve the quality of search results, while the next chapter describes how to access the Deep Web. Last but not least, the following chapter deals with the societal role of search engines before the final chapter concludes the book with an outlook on the future of Web search. With this book, students and professionals in disciplines like computer science, online marketing, or library and information science will learn how search engines work, what their main shortcomings are at present, and what prospects there are for their further development. The different views presented will help them to understand not only the basic technologies but also the implications the current implementations have concerning economic exploitation and societal impact.