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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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Advances in Information Retrieval

; evaluation; applications; retrieval models; image and video retrieval; text and content classification, categorisation, clustering; systems;

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Information Retrieval Technology

This book constitutes the refereed proceedings of the 13th Information Retrieval Societies Conference, AIRS 2017, held in Jeju, Korea;

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Information Retrieval Technology

This book constitutes the refereed proceedings of the 12th Information Retrieval Societies Conference, AIRS 2016, held in Beijing, China;

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Statistical Language Models for Information Retrieval

variety of retrieval problems. No prior knowledge about information retrieval is required, but some basic knowledge about probability and;

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Information Retrieval

This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can;

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Information Retrieval Technology

This book constitutes the refereed proceedings of the 11th Information Retrieval Societies Conference, AIRS 2015, held in Brisbane, QLD;

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Information Retrieval

basics of information retrieval, the text covers three major topic areas -- indexing, retrieval, and evaluation -- in self-contained parts. The;

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Advances in Information Retrieval

discourse, efficiency, evaluation, event mining and summarisation, information extraction, recommender systems, semantic and graph-based models;

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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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Information Retrieval Evaluation

Evaluation has always played a major role in information retrieval, with the early pioneers such as Cyril Cleverdon and Gerard Salton;

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A Feature-Centric View of Information Retrieval

and industry. Such large collections pose a new set of challenges for information retrieval researchers. In this work, Metzler describes;

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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

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

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Textual Information Access

collections. Textual Information Access is organized around four themes: informational retrieval and ranking models, classification and clustering;

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Bandit Algorithms in Information Retrieval

survey is primarily intended for two groups of readers: researchers in Information Retrieval or Machine Learning and practicing data scientists;

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Advances in Information Retrieval

learning, evaluation, user behavior, document representation, recommendation systems, retrieval methods, learning and classication, and micro-blogs.;

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Modern Information Retrieval

This is a rigorous and complete textbook for a first course on information retrieval from the computer science perspective. It provides an;

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Information Retrieval

In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and;

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Advances in Information Retrieval

-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction;

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Advances in Information Retrieval

-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction;

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Information Retrieval Evaluation in a Changing World

, innovation and development of information retrieval (IR) systems by anticipating trends in information management in order to stimulate advances;

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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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Text Retrieval and Filtering

as a secondary text for a graduate level course on Information Retrieval or Linguistics, and as a reference for researchers and practitioners;

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Using Search Term Positions for Determining Document Relevance

systems with positional information in an efficient manner optimizing the retrieval performance by handling term positions at query evaluation;

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Advances in Information Retrieval

, mining social media, digital libraries, efficiency, and information retrieval theory. Also included are 3 tutorial and 4 workshop presentations.;

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