Query Understanding For Search Engines

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Query Understanding for Search Engines

Yi Chang,Hongbo Deng
Query Understanding for Search Engines Book PDF

Author : Yi Chang,Hongbo Deng
Publisher : Springer Nature
Page : 224 pages
File Size : 55,7 Mb
Release : 2020-12-01
Category : Computers
ISBN : 9783030583347

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Query Understanding for Search Engines by Yi Chang,Hongbo Deng Pdf

This book presents a systematic study of practices and theories for query understanding of search engines. These studies can be categorized into three major classes. The first class is to figure out what the searcher wants by extracting semantic meaning from the searcher’s keywords, such as query classification, query tagging, and query intent understanding. The second class is to analyze search queries and then translate them into an enhanced query that can produce better search results, such as query spelling correction or query rewriting. The third class is to assist users in refining or suggesting queries in order to reduce users’ search effort and satisfy their information needs, such as query auto-completion and query suggestion. Query understanding is a fundamental part of search engines. It is responsible to precisely infer the intent of the query formulated by the search user, to correct spelling errors in his/her query, to reformulate the query to capture its intent more accurately, and to guide the user in formulating a query with precise intent. The book will be invaluable to researchers and graduate students in computer or information science and specializing in information retrieval or web-based systems, as well as to researchers and programmers working on the development or improvement of products related to search engines.

Understanding Search Engines

Dirk Lewandowski
Understanding Search Engines Book PDF

Author : Dirk Lewandowski
Publisher : Springer Nature
Page : 297 pages
File Size : 40,8 Mb
Release : 2023-03-07
Category : Computers
ISBN : 9783031227899

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Understanding Search Engines by Dirk Lewandowski Pdf

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.

The Art of SEO

Eric Enge,Stephan Spencer,Jessie Stricchiola,Rand Fishkin
The Art of SEO Book PDF

Author : Eric Enge,Stephan Spencer,Jessie Stricchiola,Rand Fishkin
Publisher : "O'Reilly Media, Inc."
Page : 715 pages
File Size : 40,6 Mb
Release : 2012-03-07
Category : Computers
ISBN : 9781449324889

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The Art of SEO by Eric Enge,Stephan Spencer,Jessie Stricchiola,Rand Fishkin Pdf

Four acknowledged experts in search engine optimization share guidelines and innovative techniques that will help you plan and execute a comprehensive SEO strategy. This second edition brings you up to date on recent changes in search engine behavior—such as new ranking methods involving user engagement and social media—with an array of effective tactics, from basic to advanced. Comprehend SEO’s many intricacies and complexities Explore the underlying theory and inner workings of search engines Understand the role of social media, user data, and links Discover tools to track results and measure success Recognize how changes to your site can confuse search engines Learn to build a competent SEO team with defined roles Glimpse the future of search and the SEO industry Visit www.artofseobook.com for late-breaking updates, checklists, worksheets, templates, and guides. "SEO expertise is a core need for today’s online businesses. Written by some of the top SEO practitioners out there, this book can teach you what you need to know for your online business." —Tony Hsieh, CEO of Zappos.com, Inc., author of New York Times bestseller Delivering Happiness

Effective Information Retrieval from the Internet

Alison Stacey,Adrian Stacey
Effective Information Retrieval from the Internet Book PDF

Author : Alison Stacey,Adrian Stacey
Publisher : Elsevier
Page : 324 pages
File Size : 42,8 Mb
Release : 2004-07-31
Category : Computers
ISBN : 9781780631769

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Effective Information Retrieval from the Internet by Alison Stacey,Adrian Stacey Pdf

Effective Information Retrieval from the Internet discusses practical strategies which enable the advanced web user to locate information effectively and to form a precise evaluation of the accuracy of that information. Although the book provides a brief but thorough review of the technologies which are available for these purposes, most of the book concerns practical ‘future-proof’ techniques which are independent of changes in the tools available. For example, the book covers: how to retrieve salient information quickly; how to remove or compensate for bias; and tuition of novice Internet users. Importantly, the book enables readers to develop strategies which will continue to be useful despite the rapidly-evolving state of the Internet and Internet technologies - it is not about technological tricks Enables readers to be aware of and compensate for bias and errors which are ubiquitous on the Internet Provides contemporary information on the deficiencies in web skills of novice users as well as practical techniques for teaching such users

Understanding Search Engines

Michael W. Berry,Murray Browne
Understanding Search Engines Book PDF

Author : Michael W. Berry,Murray Browne
Publisher : SIAM
Page : 134 pages
File Size : 50,5 Mb
Release : 2005-01-01
Category : Computers
ISBN : 0898718163

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Understanding Search Engines by Michael W. Berry,Murray Browne Pdf

The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Readers will find that the second edition includes significant changes that bring the text up to date on current information retrieval methods. For example, the authors have added a completely new chapter on link-structure algorithms used in search engines such as Google, and the chapter on user interface has been rewritten to specifically focus on search engine usability. To reflect updates in the literature on information retrieval, the authors have added new recommendations for further reading and expanded the bibliography. In addition, the index has been updated and streamlined to make it more reader friendly.

Understanding and Evaluating Search Experience

Maria Stone
Understanding and Evaluating Search Experience Book PDF

Author : Maria Stone
Publisher : Morgan & Claypool Publishers
Page : 105 pages
File Size : 52,8 Mb
Release : 2020-03-29
Category : Computers
ISBN : 9781636393339

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Understanding and Evaluating Search Experience by Maria Stone Pdf

This book is intended for anyone interested in learning more about how search works and how it is evaluated. We all use search—it's a familiar utility. Yet, few of us stop and think about how search works, what makes search results good, and who, if anyone, decides what good looks like. Search has a long and glorious history, yet it continues to evolve, and with it, the measurement and our understanding of the kinds of experiences search can deliver continues to evolve, as well. We will discuss the basics of how search engines work, how humans use search engines, and how measurement works. Equipped with these general topics, we will then dive into the established ways of measuring search user experience, and their pros and cons. We will talk about collecting labels from human judges, analyzing usage logs, surveying end users, and even touch upon automated evaluation methods. After introducing different ways of collecting metrics, we will cover experimentation as it applies to search evaluation. The book will cover evaluating different aspects of search—from search user interface (UI), to results presentation, to the quality of search algorithms. In covering these topics, we will touch upon many issues in evaluation that became sources of controversy—from user privacy, to ethical considerations, to transparency, to potential for bias. We will conclude by contrasting measuring with understanding, and pondering the future of search evaluation.

Deep Learning for Search

Tommaso Teofili
Deep Learning for Search Book PDF

Author : Tommaso Teofili
Publisher : Simon and Schuster
Page : 483 pages
File Size : 53,6 Mb
Release : 2019-06-02
Category : Computers
ISBN : 9781638356271

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Deep Learning for Search by Tommaso Teofili Pdf

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

Current Trends in Web Engineering

Andreas Harth,Nora Koch
Current Trends in Web Engineering Book PDF

Author : Andreas Harth,Nora Koch
Publisher : Springer
Page : 361 pages
File Size : 49,7 Mb
Release : 2012-02-14
Category : Computers
ISBN : 9783642279973

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Current Trends in Web Engineering by Andreas Harth,Nora Koch Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the workshops held at the 11th International Conference on Web Engineering, ICWE 2011, in Paphos, Cyprus, in June 2011. The 42 revised full papers presented were carefully reviewed and selected from numerous submissions . The papers are organized in sections on the Third International Workshop on Lightweight Composition on the Web (ComposableWeb 2011); First International Workshop on Search, Exploration and Navigation of Web Data Sources (ExploreWeb 2011); Second International Workshop on Enterprise Crowdsourcing (EC 2011); Seventh Model-Driven Web Engineering Workshop (MDWE 2011); Second International Workshop on Quality in Web Engineering (QWE 2011); Second Workshop on the Web and Requirements Engineering (WeRE 2011); as well as the Doctoral Symposium2011, and the ICWE 2011 Tutorials.

Database Systems for Advanced Applications

Jeffrey Xu Yu,Myoung Ho Kim,Rainer Unland
Database Systems for Advanced Applications Book PDF

Author : Jeffrey Xu Yu,Myoung Ho Kim,Rainer Unland
Publisher : Springer
Page : 473 pages
File Size : 45,8 Mb
Release : 2011-04-09
Category : Computers
ISBN : 9783642201523

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Database Systems for Advanced Applications by Jeffrey Xu Yu,Myoung Ho Kim,Rainer Unland Pdf

This two volume set LNCS 6587 and LNCS 6588 constitutes the refereed proceedings of the 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, held in Saarbrücken, Germany, in April 2010. The 53 revised full papers and 12 revised short papers presented together with 2 invited keynote papers, 22 demonstration papers, 4 industrial papers, 8 demo papers, and the abstract of 1 panel discussion, were carefully reviewed and selected from a total of 225 submissions. The topics covered are social network, social network and privacy, data mining, probability and uncertainty, stream processing, graph, XML, XML and graph, similarity, searching and digital preservation, spatial queries, query processing, as well as indexing and high performance.

Search Engines

Bruce Croft,Donald Metzler,Trevor Strohman
Search Engines Book PDF

Author : Bruce Croft,Donald Metzler,Trevor Strohman
Publisher : Pearson Higher Ed
Page : 547 pages
File Size : 40,8 Mb
Release : 2011-11-21
Category : Computers
ISBN : 9780133001594

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Search Engines by Bruce Croft,Donald Metzler,Trevor Strohman Pdf

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Search Engines: Information Retrieval in Practice 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. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice , is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book’s numerous programming exercises make extensive use of Galago, a Java-based open source search engine.

Entity-Oriented Search

Krisztian Balog
Entity Oriented Search Book PDF

Author : Krisztian Balog
Publisher : Springer
Page : 358 pages
File Size : 42,6 Mb
Release : 2018-10-02
Category : Computers
ISBN : 9783319939353

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Entity-Oriented Search by Krisztian Balog Pdf

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. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book. The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types and sources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This core task is examined in a number of different variants, using both structured and unstructured data collections, and numerous query formulations. In turn, Part II is devoted to the role of entities in bridging unstructured and structured data. Part III explores how entities can enable search engines to understand the concepts, meaning, and intent behind the query that the user enters into the search box, and how they can provide rich and focused responses (as opposed to merely a list of documents)—a process known as semantic search. The final chapter concludes the book by discussing the limitations of current approaches, and suggesting directions for future research. Researchers and graduate students are the primary target audience of this book. A general background in information retrieval is sufficient to follow the material, including an understanding of basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms.

Understanding Search Engines

Michael W. Berry,Murray Browne
Understanding Search Engines Book PDF

Author : Michael W. Berry,Murray Browne
Publisher : SIAM
Page : 125 pages
File Size : 40,6 Mb
Release : 2005-05-01
Category : Computers
ISBN : 9780898715811

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Understanding Search Engines by Michael W. Berry,Murray Browne Pdf

This text covers design issues for building search engines, emphasizing the role that applied mathematics plays in improving information retrieval.

Faceted Search

Daniel Tunkelang
Faceted Search Book PDF

Author : Daniel Tunkelang
Publisher : Springer Nature
Page : 79 pages
File Size : 46,9 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031022623

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Faceted Search by Daniel Tunkelang Pdf

We live in an information age that requires us, more than ever, to represent, access, and use information. Over the last several decades, we have developed a modern science and technology for information retrieval, relentlessly pursuing the vision of a "memex" that Vannevar Bush proposed in his seminal article, "As We May Think." Faceted search plays a key role in this program. Faceted search addresses weaknesses of conventional search approaches and has emerged as a foundation for interactive information retrieval. User studies demonstrate that faceted search provides more effective information-seeking support to users than best-first search. Indeed, faceted search has become increasingly prevalent in online information access systems, particularly for e-commerce and site search. In this lecture, we explore the history, theory, and practice of faceted search. Although we cannot hope to be exhaustive, our aim is to provide sufficient depth and breadth to offer a useful resource to both researchers and practitioners. Because faceted search is an area of interest to computer scientists, information scientists, interface designers, and usability researchers, we do not assume that the reader is a specialist in any of these fields. Rather, we offer a self-contained treatment of the topic, with an extensive bibliography for those who would like to pursue particular aspects in more depth. Table of Contents: I. Key Concepts / Introduction: What Are Facets? / Information Retrieval / Faceted Information Retrieval / II. Research and Practice / Academic Research / Commercial Applications / III. Practical Concerns / Back-End Concerns / Front-End Concerns / Conclusion / Glossary

Artificial Intelligence

Lu Fang,Yiran Chen,Guangtao Zhai,Jane Wang,Ruiping Wang,Weisheng Dong
Artificial Intelligence Book PDF

Author : Lu Fang,Yiran Chen,Guangtao Zhai,Jane Wang,Ruiping Wang,Weisheng Dong
Publisher : Springer Nature
Page : 446 pages
File Size : 50,6 Mb
Release : 2022-01-01
Category : Computers
ISBN : 9783030930493

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Artificial Intelligence by Lu Fang,Yiran Chen,Guangtao Zhai,Jane Wang,Ruiping Wang,Weisheng Dong Pdf

This two-volume set LNCS 13069-13070 constitutes selected papers presented at the First CAAI International Conference on Artificial Intelligence, held in Hangzhou, China, in June 2021. Due to the COVID-19 pandemic the conference was partially held online. The 105 papers were thoroughly reviewed and selected from 307 qualified submissions. The papers are organized in topical sections on applications of AI; computer vision; data mining; explainability, understandability, and verifiability of AI; machine learning; natural language processing; robotics; and other AI related topics.

The Art of SEO

Eric Enge,Stephan Spencer,Rand Fishkin,Jessie Stricchiola
The Art of SEO Book PDF

Author : Eric Enge,Stephan Spencer,Rand Fishkin,Jessie Stricchiola
Publisher : "O'Reilly Media, Inc."
Page : 606 pages
File Size : 54,7 Mb
Release : 2009-10-21
Category : Computers
ISBN : 9781449391058

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The Art of SEO by Eric Enge,Stephan Spencer,Rand Fishkin,Jessie Stricchiola Pdf

Four acknowledged experts in search engine optimization share guidelines and innovative techniques that will help you plan and execute a comprehensive SEO strategy. This second edition brings you up to date on recent changes in search engine behavior—such as new ranking methods involving user engagement and social media—with an array of effective tactics, from basic to advanced. Comprehend SEO’s many intricacies and complexities Explore the underlying theory and inner workings of search engines Understand the role of social media, user data, and links Discover tools to track results and measure success Recognize how changes to your site can confuse search engines Learn to build a competent SEO team with defined roles Glimpse the future of search and the SEO industry Visit www.artofseobook.com for late-breaking updates, checklists, worksheets, templates, and guides.