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Author :
Publisher : KWB Entertainment Inc.
ISBN 13 : 0974952931
Total Pages : 189 pages
Book Rating : 4.9/5 (749 download)
Download or read book Search Rank Facts written by and published by KWB Entertainment Inc.. This book was released on 2005 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tie-Yan Liu
Publisher : Springer Science & Business Media
ISBN 13 : 3642142672
Total Pages : 282 pages
Book Rating : 4.6/5 (421 download)
Download or read book Learning to Rank for Information Retrieval written by Tie-Yan Liu and published by Springer Science & Business Media. This book was released on 2011-04-29 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more important than ever, and the search engine has become an essential tool for many people. The ranker, a central component in every search engine, is responsible for the matching between processed queries and indexed documents. Because of its central role, great attention has been paid to the research and development of ranking technologies. In addition, ranking is also pivotal for many other information retrieval applications, such as collaborative filtering, definition ranking, question answering, multimedia retrieval, text summarization, and online advertisement. Leveraging machine learning technologies in the ranking process has led to innovative and more effective ranking models, and eventually to a completely new research area called “learning to rank”. Liu first gives a comprehensive review of the major approaches to learning to rank. For each approach he presents the basic framework, with example algorithms, and he discusses its advantages and disadvantages. He continues with some recent advances in learning to rank that cannot be simply categorized into the three major approaches – these include relational ranking, query-dependent ranking, transfer ranking, and semisupervised ranking. His presentation is completed by several examples that apply these technologies to solve real information retrieval problems, and by theoretical discussions on guarantees for ranking performance. This book is written for researchers and graduate students in both information retrieval and machine learning. They will find here the only comprehensive description of the state of the art in a field that has driven the recent advances in search engine development.
Author : Hang Li
Publisher : Springer Nature
ISBN 13 : 303102141X
Total Pages : 107 pages
Book Rating : 4.0/5 (31 download)
Download or read book Learning to Rank for Information Retrieval and Natural Language Processing written by Hang Li and published by Springer Nature. This book was released on 2011-04-20 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on the problem recently and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, existing approaches, theories, applications, and future work. The author begins by showing that various ranking problems in information retrieval and natural language processing can be formalized as two basic ranking tasks, namely ranking creation (or simply ranking) and ranking aggregation. In ranking creation, given a request, one wants to generate a ranking list of offerings based on the features derived from the request and the offerings. In ranking aggregation, given a request, as well as a number of ranking lists of offerings, one wants to generate a new ranking list of the offerings. Ranking creation (or ranking) is the major problem in learning to rank. It is usually formalized as a supervised learning task. The author gives detailed explanations on learning for ranking creation and ranking aggregation, including training and testing, evaluation, feature creation, and major approaches. Many methods have been proposed for ranking creation. The methods can be categorized as the pointwise, pairwise, and listwise approaches according to the loss functions they employ. They can also be categorized according to the techniques they employ, such as the SVM based, Boosting SVM, Neural Network based approaches. The author also introduces some popular learning to rank methods in details. These include PRank, OC SVM, Ranking SVM, IR SVM, GBRank, RankNet, LambdaRank, ListNet & ListMLE, AdaRank, SVM MAP, SoftRank, Borda Count, Markov Chain, and CRanking. The author explains several example applications of learning to rank including web search, collaborative filtering, definition search, keyphrase extraction, query dependent summarization, and re-ranking in machine translation. A formulation of learning for ranking creation is given in the statistical learning framework. Ongoing and future research directions for learning to rank are also discussed. Table of Contents: Introduction / Learning for Ranking Creation / Learning for Ranking Aggregation / Methods of Learning to Rank / Applications of Learning to Rank / Theory of Learning to Rank / Ongoing and Future Work
Author : United States. Central Intelligence Agency
Publisher : Potomac Books
ISBN 13 : 9781574886412
Total Pages : 712 pages
Book Rating : 4.8/5 (864 download)
Download or read book The World Factbook 2003 written by United States. Central Intelligence Agency and published by Potomac Books. This book was released on 2003 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: By intelligence officials for intelligent people
Author : Hang Li
Publisher : Springer Nature
ISBN 13 : 303102155X
Total Pages : 107 pages
Book Rating : 4.0/5 (31 download)
Download or read book Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition written by Hang Li and published by Springer Nature. This book was released on 2022-05-31 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning to rank refers to machine learning techniques for training a model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on its problems recently, and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, major approaches, theories, applications, and future work. The author begins by showing that various ranking problems in information retrieval and natural language processing can be formalized as two basic ranking tasks, namely ranking creation (or simply ranking) and ranking aggregation. In ranking creation, given a request, one wants to generate a ranking list of offerings based on the features derived from the request and the offerings. In ranking aggregation, given a request, as well as a number of ranking lists of offerings, one wants to generate a new ranking list of the offerings. Ranking creation (or ranking) is the major problem in learning to rank. It is usually formalized as a supervised learning task. The author gives detailed explanations on learning for ranking creation and ranking aggregation, including training and testing, evaluation, feature creation, and major approaches. Many methods have been proposed for ranking creation. The methods can be categorized as the pointwise, pairwise, and listwise approaches according to the loss functions they employ. They can also be categorized according to the techniques they employ, such as the SVM based, Boosting based, and Neural Network based approaches. The author also introduces some popular learning to rank methods in details. These include: PRank, OC SVM, McRank, Ranking SVM, IR SVM, GBRank, RankNet, ListNet & ListMLE, AdaRank, SVM MAP, SoftRank, LambdaRank, LambdaMART, Borda Count, Markov Chain, and CRanking. The author explains several example applications of learning to rank including web search, collaborative filtering, definition search, keyphrase extraction, query dependent summarization, and re-ranking in machine translation. A formulation of learning for ranking creation is given in the statistical learning framework. Ongoing and future research directions for learning to rank are also discussed. Table of Contents: Learning to Rank / Learning for Ranking Creation / Learning for Ranking Aggregation / Methods of Learning to Rank / Applications of Learning to Rank / Theory of Learning to Rank / Ongoing and Future Work
Author : John I Jerkovic
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449383076
Total Pages : 498 pages
Book Rating : 4.4/5 (493 download)
Download or read book SEO Warrior written by John I Jerkovic and published by "O'Reilly Media, Inc.". This book was released on 2009-11-09 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can you make it easier for people to find your website? And how can you convert casual visitors into active users? SEO Warrior shows you how it's done through a collection of tried and true techniques, hacks, and best practices. Learn the nuts and bolts of search engine optimization (SEO) theory, the importance of keyword strategy, and how to avoid and remedy search engine traps. You'll also learn about search engine marketing (SEM) practices, such as Google AdWords, and how you can use social networking to increase your visibility. Ideal for web developers, savvy marketers, webmasters, and anyone else interested in SEO, this book serves not only as an SEO tutorial, but also as a reference for implementing effective SEO techniques. Create compelling sites with SEO that can stand the test of time Optimize your site for Google, Yahoo!, Microsoft's Bing, as well as search engines used in different parts of the world Conduct keyword research to find the best terms to reach your audience--and the related terms they'll respond to Learn what makes search engines tick by utilizing custom scripts Analyze your site to see how it measures up to the competition
Author : Stephanie Kremer
Publisher : GRIN Verlag
ISBN 13 : 3668829217
Total Pages : 12 pages
Book Rating : 4.6/5 (688 download)
Download or read book The most important facts to consider in SEO written by Stephanie Kremer and published by GRIN Verlag. This book was released on 2018-11-06 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Document from the year 2018 in the subject Business economics - Business Management, Corporate Governance, grade: 1,3, Munich University of Applied Sciences, language: English, abstract: Only in Germany, 23.9 million of the over 14-year-old german-speaking population used search engines on the internet for their information search daily in 2017. Compared to 21.08 milion in 2016, this is a growth of 13.38 percent. According to other studies, over 85 percent of all internet sessions start with the type-in into search engines. Therefore, Search Engine Optimization (SEO) offers a huge potential for companies to deliver the right information to interested users when they ask for it actively. To succeed against their competitors, it is important for companies to appear as high as possible in the search engine results pages (SERPs). The question about the most important factors to consider in SEO for good ranking positions is always highly discussed in SEO communities because Google reveals as little as possible to avoid manipulation. But one thing appears to be clear: because of highly developed machine-learning-algorithms which influence Googles’ valuation of a website for its ranking, classical ranking factors can no longer be used as standard for every search query anymore, but relevant content as well as user experience have become important.
Author : Amy N. Langville
Publisher : Princeton University Press
ISBN 13 : 069116231X
Total Pages : 265 pages
Book Rating : 4.6/5 (911 download)
Download or read book Who's #1? written by Amy N. Langville and published by Princeton University Press. This book was released on 2013-12-01 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mathematics behind today's most widely used rating and ranking methods A website's ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings are everywhere, but how exactly do they work? Who's #1? offers an engaging and accessible account of how scientific rating and ranking methods are created and applied to a variety of uses. Amy Langville and Carl Meyer provide the first comprehensive overview of the mathematical algorithms and methods used to rate and rank sports teams, political candidates, products, Web pages, and more. In a series of interesting asides, Langville and Meyer provide fascinating insights into the ingenious contributions of many of the field's pioneers. They survey and compare the different methods employed today, showing why their strengths and weaknesses depend on the underlying goal, and explaining why and when a given method should be considered. Langville and Meyer also describe what can and can't be expected from the most widely used systems. The science of rating and ranking touches virtually every facet of our lives, and now you don't need to be an expert to understand how it really works. Who's #1? is the definitive introduction to the subject. It features easy-to-understand examples and interesting trivia and historical facts, and much of the required mathematics is included.
Author : Marie-Aude Aufaure
Publisher : Springer Science & Business Media
ISBN 13 : 3642273572
Total Pages : 215 pages
Book Rating : 4.6/5 (422 download)
Download or read book Business Intelligence written by Marie-Aude Aufaure and published by Springer Science & Business Media. This book was released on 2012-01-16 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena and the evolution of society and users, and needs to take into account high-level semantics, reasoning about unstructured and structured data, and to provide a simplified access and better understanding of diverse BI tools accessible trough mobile devices. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors’, suppliers’, or distributors’ data, governmental or NGO-based analysis and papers, or from research publications. The lectures held at the First European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI technologies like data warehouses, OLAP query processing, or performance issues, but extend into new aspects that are important in this new environment and for novel applications, e.g., semantic technologies, social network analysis and graphs, services, large-scale management, or collaborative decision making. Combining papers by leading researchers in the field, this volume will equip the reader with the state-of-the-art background necessary for inventing the future of BI. It will also provide the reader with an excellent basis and many pointers for further research in this growing field.
Author : Minho Lee
Publisher : Springer
ISBN 13 : 3642420427
Total Pages : 794 pages
Book Rating : 4.6/5 (424 download)
Download or read book Neural Information Processing written by Minho Lee and published by Springer. This book was released on 2013-10-29 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 8226, LNCS 8227 and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.
Author : Pascal Hitzler
Publisher : Springer
ISBN 13 : 303021348X
Total Pages : 648 pages
Book Rating : 4.0/5 (32 download)
Download or read book The Semantic Web written by Pascal Hitzler and published by Springer. This book was released on 2019-05-24 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Semantic Web Conference, ESWC 2019, held in Portorož, Slovenia. The 39 revised full papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in three tracks: research track, resources track, and in-use track and deal with the following topical areas: distribution and decentralisation, velocity on the Web, research of research, ontologies and reasoning, linked data, natural language processing and information retrieval, semantic data management and data infrastructures, social and human aspects of the Semantic Web, and, machine learning.
Author : Giuliano Armano
Publisher : Springer Science & Business Media
ISBN 13 : 364213999X
Total Pages : 148 pages
Book Rating : 4.6/5 (421 download)
Download or read book Intelligent Information Access written by Giuliano Armano and published by Springer Science & Business Media. This book was released on 2010-06-23 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written from a multidisciplinary perspective, Intelligent Information Access investigates new insights into methods, techniques and technologies for intelligent information access. The chapters are written by participants in the Intelligent Information Access meeting, held in Cagliari, Italy, in December 2008.
Author : Stefano Ceri
Publisher : Springer
ISBN 13 : 3642123104
Total Pages : 322 pages
Book Rating : 4.6/5 (421 download)
Download or read book Search Computing written by Stefano Ceri and published by Springer. This book was released on 2010-03-15 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : José Cordeiro
Publisher : Springer Science & Business Media
ISBN 13 : 3642124356
Total Pages : 317 pages
Book Rating : 4.6/5 (421 download)
Download or read book Web Information Systems and Technologies written by José Cordeiro and published by Springer Science & Business Media. This book was released on 2010-04-14 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the best papers from WEBIST 2009 (the 5th Int- national Conference on Web Information Systems and Technologies), held in Lisbon, Portugal, in 2009, organized by the Institute for Systems and Technologies of Inf- mation, Control and Communication (INSTICC), in collaboration with ACM SIGMIS and co-sponsored by the Workflow Management Coalition (WFMC). The purpose of the WEBIST series of conferences is to bring together researchers, engineers and practitioners interested in the technological advances and business applications of Web-based information systems. The conference has four main tracks, covering different aspects of Web information systems, including Internet Techn- ogy, Web Interfaces and Applications, Society, e-Communities, e-Business and e-Government. WEBIST 2009 received 203 paper submissions from 47 countries on all con- nents. A double-blind review process was enforced, with the help of more than 150 experts from the International Program Committee; each of them specialized in one of the main conference topic areas. After reviewing, 28 papers were selected to be published and presented as full papers and 44 additional papers, describing work-- progress, published and presented as short papers. Furthermore, 35 papers were p- sented as posters. The full-paper acceptance ratio was 13%, and the total oral paper acceptance ratio was 36%. Therefore, we hope that you find the papers included in this book interesting, and we trust they may represent a helpful reference for all those who need to address any of the research areas mentioned above. January 2010 José Cordeiro Joaquim Filipe
Author : Sandro Etalle
Publisher : Springer
ISBN 13 : 0387736557
Total Pages : 425 pages
Book Rating : 4.3/5 (877 download)
Download or read book Trust Management written by Sandro Etalle and published by Springer. This book was released on 2007-11-24 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the IFIPTM 2007, the Joint iTrust and PST Conferences on Privacy, Trust Management and Security, held in Moncton, New Brunswick, Canada, in 2007. The annual iTrust international conference looks at trust from multidisciplinary perspectives: economic, legal, psychology, philosophy, sociology as well as information technology. This volume, therefore, presents the most up-to-date research on privacy, security, and trust management.
Author : R. Natarajan
Publisher : Springer
ISBN 13 : 8132219317
Total Pages : 598 pages
Book Rating : 4.1/5 (322 download)
Download or read book Proceedings of the International Conference on Transformations in Engineering Education written by R. Natarajan and published by Springer. This book was released on 2014-10-22 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the proceedings of the International Conference on Transformations in Engineering Education conducted jointly by BVB College of Engineering & Technology, Hubli, India and Indo US Collaboration for Engineering Education (IUCEE). This event is done in collaboration with International Federation of Engineering Education Societies (IFEES), American Society for Engineering Education (ASEE) and Global Engineering Deans' Council (GEDC). The conference is about showcasing the transformational practices in Engineering Education space.
Author : Bruce Croft
Publisher : Pearson Higher Ed
ISBN 13 : 0133001598
Total Pages : 547 pages
Book Rating : 4.1/5 (33 download)
Download or read book Search Engines written by Bruce Croft and published by Pearson Higher Ed. This book was released on 2011-11-21 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
