Deep Learning for Search

Deep Learning for Search
Author: Tommaso Teofili
Publisher: Simon and Schuster
Total Pages: 483
Release: 2019-06-02
Genre: Computers
ISBN: 1638356270

Summary Deep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques. By the time you're finished with the book, you'll be ready to build amazing search engines that deliver the results your users need and that get better as time goes on! Foreword by Chris Mattmann. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning handles the toughest search challenges, including imprecise search terms, badly indexed data, and retrieving images with minimal metadata. And with modern tools like DL4J and TensorFlow, you can apply powerful DL techniques without a deep background in data science or natural language processing (NLP). This book will show you how. About the Book Deep Learning for Search teaches you to improve your search results with neural networks. You'll review how DL relates to search basics like indexing and ranking. Then, you'll walk through in-depth examples to upgrade your search with DL techniques using Apache Lucene and Deeplearning4j. As the book progresses, you'll explore advanced topics like searching through images, translating user queries, and designing search engines that improve as they learn! What's inside Accurate and relevant rankings Searching across languages Content-based image search Search with recommendations About the Reader For developers comfortable with Java or a similar language and search basics. No experience with deep learning or NLP needed. About the Author Tommaso Teofili is a software engineer with a passion for open source and machine learning. As a member of the Apache Software Foundation, he contributes to a number of open source projects, ranging from topics like information retrieval (such as Lucene and Solr) to natural language processing and machine translation (including OpenNLP, Joshua, and UIMA). He currently works at Adobe, developing search and indexing infrastructure components, and researching the areas of natural language processing, information retrieval, and deep learning. He has presented search and machine learning talks at conferences including BerlinBuzzwords, International Conference on Computational Science, ApacheCon, EclipseCon, and others. You can find him on Twitter at @tteofili. Table of Contents PART 1 - SEARCH MEETS DEEP LEARNING Neural search Generating synonyms PART 2 - THROWING NEURAL NETS AT A SEARCH ENGINE From plain retrieval to text generation More-sensitive query suggestions Ranking search results with word embeddings Document embeddings for rankings and recommendations PART 3 - ONE STEP BEYOND Searching across languages Content-based image search A peek at performance

Deep Search

Deep Search
Author: Konrad Becker
Publisher:
Total Pages: 224
Release: 2009
Genre: Computers
ISBN:

Deep Search collects 13 texts which investigate the social and political dimensions of how we navigate the deep seas of knowledge. What do we win, and what do we lose when we move from an analogue to a digital information order? How is computer readable significance produced, how is meaning involved in machine communication? Where is the potential of having access to such vast amounts of information? What are the dangers of our reliance on search engines and are there any approaches that do not follow the currently dominating paradigm of Google? This volume answers these questions of culture, context and classification regarding information systems that should not be ignored.

In Search of Deeper Learning

In Search of Deeper Learning
Author: Jal Mehta
Publisher: Harvard University Press
Total Pages: 465
Release: 2019-04-22
Genre: Education
ISBN: 0674988396

"The best book on high school dynamics I have ever read."--Jay Mathews, Washington Post An award-winning professor and an accomplished educator take us beyond the hype of reform and inside some of America's most innovative classrooms to show what is working--and what isn't--in our schools. What would it take to transform industrial-era schools into modern organizations capable of supporting deep learning for all? Jal Mehta and Sarah Fine's quest to answer this question took them inside some of America's most innovative schools and classrooms--places where educators are rethinking both what and how students should learn. The story they tell is alternately discouraging and hopeful. Drawing on hundreds of hours of observations and interviews at thirty different schools, Mehta and Fine reveal that deeper learning is more often the exception than the rule. And yet they find pockets of powerful learning at almost every school, often in electives and extracurriculars as well as in a few mold-breaking academic courses. These spaces achieve depth, the authors argue, because they emphasize purpose and choice, cultivate community, and draw on powerful traditions of apprenticeship. These outliers suggest that it is difficult but possible for schools and classrooms to achieve the integrations that support deep learning: rigor with joy, precision with play, mastery with identity and creativity. This boldly humanistic book offers a rich account of what education can be. The first panoramic study of American public high schools since the 1980s, In Search of Deeper Learning lays out a new vision for American education--one that will set the agenda for schools of the future.

In Search of Deep Faith

In Search of Deep Faith
Author: Jim Belcher
Publisher: InterVarsity Press
Total Pages: 323
Release: 2013-11-19
Genre: Religion
ISBN: 0830837744

Follow pastor Jim Belcher and his family as they take a pilgrimage through Europe, seeking substance for their faith in Christianity's historic, civilizational home. What they find, in places like Lewis's Oxford and Bonhoeffer's Germany, are glimpses of another kind of faith—one with power to cut through centuries and pierce our hearts today.

Understanding Search Engines

Understanding Search Engines
Author: Dirk Lewandowski
Publisher: Springer Nature
Total Pages: 297
Release: 2023-03-07
Genre: Computers
ISBN: 3031227891

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 Web’s 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.

Deep Blue

Deep Blue
Author: Monroe Newborn
Publisher: Springer Science & Business Media
Total Pages: 402
Release: 2003
Genre: Computers
ISBN: 9780387954615

This book offers a detailed account of IBM's Deep Blue chess program, the people who created it, and its historic battles with World Chess Champion Garry Kasparov. The text examines the progress made by the creators of Deep Blue, beginning with the1989 two-game match against Kasparov. The heroes are: IBM researchers Feng-hsiung Hsu, Murray Campbell, and Joe Hoane, along with team leader Chung-Jen Tan and International Grandmaster Joel Benjamin. The text chronicles one of the great technology achievements of the 20th Century. It establishes the point in history when mankind's exciting new tool, the computer, came of age and competed with its human creators in the ultimate intellectual competition: a game of chess. This book will serve as the premier story documenting that achievement and a milestone in the development of artificial intelligence.

Computers and Games

Computers and Games
Author: H. Jaap van den Herik
Publisher: Springer Science & Business Media
Total Pages: 293
Release: 2011-01-14
Genre: Computers
ISBN: 3642179274

This book constitutes the refereed proceedings of the 7th International Conference on Computers and Games, CG 2010, held in Kanazawa, Japan, in September 2010. The 24 papers presented were carefully reviewed and selected for inclusion in this book. They cover a wide range of topics such as monte-carlo tree search, proof-number search, UCT algorithm, scalability, parallelization, opening books, knowledge abstraction, solving games, consultation of players, multi-player games, extraversion, and combinatorial game theory. In addition a wide range of computer games is dealt with, such as Chinese Checkers, Chinese Chess, Connect6, Go, Havannah, Lines of Action, Pckomino, Shogi, Surakarta, and Yahtzee.

How Voters Decide

How Voters Decide
Author: Richard R. Lau
Publisher: Cambridge University Press
Total Pages: 15
Release: 2006-06-26
Genre: Political Science
ISBN: 1139456865

This book attempts to redirect the field of voting behavior research by proposing a paradigm-shifting framework for studying voter decision making. An innovative experimental methodology is presented for getting 'inside the heads' of citizens as they confront the overwhelming rush of information from modern presidential election campaigns. Four broad theoretically-defined types of decision strategies that voters employ to help decide which candidate to support are described and operationally-defined. Individual and campaign-related factors that lead voters to adopt one or another of these strategies are examined. Most importantly, this research proposes a new normative focus for the scientific study of voting behavior: we should care about not just which candidate received the most votes, but also how many citizens voted correctly - that is, in accordance with their own fully-informed preferences.

Gone Too Deep

Gone Too Deep
Author: Katie Ruggle
Publisher: Sourcebooks, Inc.
Total Pages: 343
Release: 2016-08-02
Genre: Fiction
ISBN: 1492628247

"Vivid and charming."—CHARLAINE HARRIS, #1 New York Times bestselling author of the Sookie Stackhouse series George is a mystery. Tall. Dark. Intense. And she'll need him by her side if she wants to survive. George Holloway has spent his life alone, exploring the treacherous beauty of the Colorado Rockies. He's the best survival expert Search & Rescue has, which makes him the obvious choice to lead Ellie Price through deadly terrain to find her missing father. There's just one problem—Ellie's everything George isn't. She's a city girl, charming, gregarious, delicate, small. And when she looks up at him with those big, dark eyes, he swears he would tear the world apart to keep her safe. Ellie's determined to find her father no matter the cost. But as she and her gorgeous mountain of a guide fight their way through an unforgiving wilderness, they find themselves in the crosshairs of a dangerous man in search of revenge. And they are now his prey... In the remote Rocky Mountains, lives depend on the Search & Rescue brotherhood. But in a place this far off the map, trust is hard to come by and secrets can be murder... "Gripping suspense, unique heroines, sexy heroes." —CHRISTINE FEEHAN, #1 New York Times Bestselling Author Search and Rescue Series: On His Watch (FREE novella) Hold Your Breath (Book 1) Fan the Flames (Book 2) Gone too Deep (Book 3) In Safe Hands (Book 4) After the End (FREE novella) What People Are Saying About Katie Ruggle's Romantic Suspense: "I love Ruggle's characters. They're sharply drawn, and vividly alive. I'm happy when they find each other. These are wonderful escapist books."—CHARLAINE HARRIS, #1 New York Times Bestselling author of the Sookie Stackhouse series "Sexy and suspenseful, I couldn't turn the pages fast enough."—JULIE ANN WALKER, New York Times and USA Today Bestselling Author for Hold Your Breath "Chills and thrills and a sexy slow-burning romance from a terrific new voice."—D.D. AYRES, author of the K-9 Rescue Series for Hold Your Breath

Evolutionary Computation

Evolutionary Computation
Author: Ashish M. Gujarathi
Publisher: CRC Press
Total Pages: 652
Release: 2016-12-01
Genre: Computers
ISBN: 1771883375

Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications. Covering both the theory and applications of evolutionary computation, the book offers exhaustive coverage of several topics on nontraditional evolutionary techniques, details working principles of new and popular evolutionary algorithms, and discusses case studies on both scientific and real-world applications of optimization