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In the Information Society, information holds the master key to economic influence. Similarity Search: The Metric Space Approach will focus on efficient ways to locate user-relevant information in collections of objects, the similarity of which is quantified using a pairwise distance measure. This book is a direct response to recent advances in computing, communications and storage which have led to the current flood of digital libraries, data warehouses and the limitless heterogeneity of internet resources. Similarity Search: The Metric Space Approach will introduce state-of-the-art in developing index structures for searching complex data modeled as instances of a metric space. This book consists of two parts. Part 1 presents the metric search approach in a nutshell by defining the problem, describes major theoretical principals, and provides an extensive survey of specific techniques for a large range of applications. Part 2 concentrates on approaches particularly designed for searching in very large collections of data. Similarity Search: The Metric Space Approach is designed for a professional audience, composed of academic researchers as well as practitioners in industry. This book is also suitable as introductory material for graduate-level students in computer science.
Database searching. --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching
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Information retrieval --- Database searching --- Information storage and retrieval systems --- Online bibliographic searching --- Reference services (Libraries) --- -Reference services (Libraries) --- -Libraries --- Library reference services --- Reference work (Libraries) --- Information services --- Public services (Libraries) --- On-line bibliographic searching --- Electronic information resource searching --- Searching, Bibliographical --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Management. --- Automation --- -Management --- Reference department --- -Management. --- Libraries --- Management --- Automation&delete&
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In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. This reference book for professionals covers concepts and theories from the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such
Text processing (Computer science) --- Sorting (Electronic computers) --- Relevance --- Database searching --- Search engines --- Engineering & Applied Sciences --- Computer Science --- Programming --- Relevance. --- Database searching. --- Programming. --- Computer programming --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Pertinence --- Relevancy --- Meaning (Philosophy) --- Meaning (Psychology) --- Computer sorting --- Electronic data processing --- Processing, Text (Computer science) --- Database management --- Information storage and retrieval systems --- Word processing
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Data mining. --- Database searching. --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data mining --- 681.3*I2 --- 681.3*I2 Artificial intelligence. AI --- Artificial intelligence. AI
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Multimedia systems. --- Database searching. --- Information retrieval. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems
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Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Client/server computing --- Java (Computer program language) --- Database searching --- 681.3*D15 --- 681.3*D13 --- Object-oriented programming languages --- JavaSpaces technology --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Computing, Client/server --- Electronic data processing --- Software: object-oriented programming --- Concurrent programming --- Distributed processing --- Client/server computing. --- Database searching. --- Java (Computer program language). --- 681.3*D13 Concurrent programming --- 681.3*D15 Software: object-oriented programming
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Information retrieval --- Library automation --- Database searching --- Information retrieval. --- 681.3*H33 --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Information search and retrieval: clustering; query formulation; retrieval models; search process; selection process --- 681.3*H33 Information search and retrieval: clustering; query formulation; retrieval models; search process; selection process --- Recherche documentaire
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Database searching --- -Information retrieval --- Online bibliographic searching --- -On-line bibliographic searching --- Electronic information resource searching --- Searching, Bibliographical --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Bibliography --- Bibliography. --- Information retrieval --- On-line bibliographic searching --- Online bibliographic searching - Bibliography --- Information retrieval - Bibliography --- Database searching - Bibliography
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Mathematical Sciences --- Applied Mathematics --- Data mining --- Database management --- Database searching --- Data mining. --- Database management. --- Database searching. --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Data base management --- DBMS (Computer science) --- Generalized data management systems --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Data services (Database management) --- Database management services --- Services, Database management
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This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks. Representing much of the foundational research in this field, the book develops scalable algorithms that exploit the graphlike properties underlying personalized search and reputation management, and delves into realistic scenarios regarding Web-scale data. Sep Kamvar focuses on eigenvector-based techniques in Web search, introducing a personalized variant of Google's PageRank algorithm, and he outlines algorithms--such as the now-famous quadratic extrapolation technique--that speed up computation, making personalized PageRank feasible. Kamvar suggests that Power Method-related techniques ultimately should be the basis for improving the PageRank algorithm, and he presents algorithms that exploit the convergence behavior of individual components of the PageRank vector. Kamvar then extends the ideas of reputation management and personalized search to distributed networks like peer-to-peer and social networks. He highlights locality and computational considerations related to the structure of the network, and considers such unique issues as malicious peers. He describes the EigenTrust algorithm and applies various PageRank concepts to P2P settings. Discussion chapters summarizing results conclude the book's two main sections. Clear and thorough, this book provides an authoritative look at central innovations in search for all of those interested in the subject.
Database searching --- Information networks --- Content analysis (Communication) --- Self-organizing systems --- Algorithms. --- Internet searching --- Analysis of content (Communication) --- Communication --- Subject analysis --- Searching the Internet --- Web searching --- World Wide Web searching --- Electronic information resource searching --- Algorism --- Algebra --- Arithmetic --- Automated information networks --- Networks, Information --- Information services --- Information storage and retrieval systems --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Mathematics. --- Data processing. --- Content analysis --- Methodology --- Foundations
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