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Mathematics for Classical Information Retrieval

This book is about Information Retrieval (IR), particularly Classical Information Retrieval (CIR). It looks at these topics through their;

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A Feature-Centric View of Information Retrieval

highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic;

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Interactive Information Retrieval in Digital Environments

provides theoretical framework in understanding the nature of information retrieval, and offers implications for the design and evolution;

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Foundations of Large-Scale Multimedia Information Management and Retrieval

Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception covers knowledge representation and;

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A Theory of Indexing

is typical of theoretical work in automatic information organization and retrieval, in that concepts are used from mathematics, computer science, and;

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Introduction to Information Retrieval

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas;

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Information Retrieval

An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation;

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Information Retrieval

for Meaning and Structure Cross-language Information Retrieval Performance Issues in Parallel Computing for Information Retrieval This book;

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Understanding Search Engines

issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The;

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Using the Mathematics Literature

literature in both print and electronic formats, presenting time-saving strategies for retrieval of the latest information.;

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Using the Mathematics Literature

literature in both print and electronic formats, presenting time-saving strategies for retrieval of the latest information.;

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Critical Approaches to Information Retrieval Research

Information retrieval (IR) is considered to be the science of searching for information from a variety of information sources related to;

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Statistical Language Models for Information Retrieval

been a central research problem in information retrieval for several decades. In the past ten years, a new generation of retrieval models;

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Search Engines

Search Engines: Information Retrieval in Practice is ideal for introductory information retrieval courses at the undergraduate and graduate;

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Information Retrieval

Information retrieval is a sub-field of computer science that deals with the automated storage and retrieval of documents. Providing the;

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Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval;

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Ontology-Based Information Retrieval for Healthcare Systems

volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for;

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Information Retrieval for Music and Motion

algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data;

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Information Retrieval

Information retrieval is the foundation for modern search engines. This text offers an introduction to the core topics underlying modern;

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Experiment and Evaluation in Information Retrieval Models

Experiment and Evaluation in Information Retrieval Models explores different algorithms for the application of evolutionary computation to;

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The Geometry of Information Retrieval

Information retrieval, IR, the science of extracting information from any potential source, can be viewed in a number of ways: logical;

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Human Information Retrieval

presented. Neither narrowly practical nor largely speculative, Human Information Retrieval meets the contemporary need for a broader treatment;

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Introduction to Information Retrieval and Quantum Mechanics

for modeling information representation and retrieval processes. The book is divided into four chapters. Chapter 1 illustrates the main;

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Introduction to Information Retrieval and Quantum Mechanics

for modeling information representation and retrieval processes. The book is divided into four chapters. Chapter 1 illustrates the main;

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An Introduction to Neural Information Retrieval

Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi-media;

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Graph-based Natural Language Processing and Information Retrieval

Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these;

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Advances In Music Information Retrieval

is desirable and becomes necessary to browse music collections by contents. Therefore, music information retrieval can be potentially of interest for;

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