Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Information Retrieval: A Survey
GIS Visualizer - Geographic Data Visualized on 40+ Maps! Click here for details.
  • Title Information Retrieval: A Survey
  • Author(s) Ed Greengrass
  • Publisher: University of Maryland (2000)
  • Paperback N/A
  • eBook PDF (224 pages, 1.1 MB)
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: N/A
  • Share This:  

Book Description

This report is a tutorial and survey of the state of the art, both research and commercial, in the dynamic field of Information Retrieval. The topics covered include: formulation of structured and unstructured queries and topic statements, indexing of document collections, methods for computing the similarity of queries and documents, classification and routing of documents in an incoming stream to users on the basis of topic or need statements, etc.

About the Authors
  • N/A
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Invisible Search and Online Search Engines (Jutta Haider, et al)

    This book is the first book to approach search and search engines from a perspective that combines insights from the technical expertise of information science research with a social science and humanities approach.

  • Search Engines: Information Retrieval in Practice

    Written by a leader in the field of information retrieval, it is designed to give students the understanding and tools they need to evaluate, compare and modify search engines. It is also a valuable tool for search engine and information retrieval professionals.

  • Entity-Oriented Search (Krisztian Balog)

    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.

  • Introduction to Information Retrieval (Christopher Manning, et al)

    This book covers all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections.

  • Mathematics for Classical Information Retrieval: Roots and Apps

    This book is about Information Retrieval (IR), particularly Classical Information Retrieval (CIR). The primary goal of book is to create a context for understanding the principles of CIR by discussing its mathematical bases.

  • Information Retrieval Interaction (Peter Ingwersen)

    The aims of the book are to establish a unifying scientific approach to IR - a synthesis based on the concept of IR interaction and the Cognitive Viewpoint, and to generate a consolidated framework - the Mediator Model.

  • Engines of Order: A Mechanology of Algorithmic Techniques

    This book examines the constructive and cumulative character of software and retraces the historical trajectories of a series of algorithmic techniques that have become the building blocks for contemporary practices of ordering.

  • Introduction to Metadata: 3rd Edition (Murtha Baca, et al)

    Provides an overview of Metadata - its types, roles, and characteristics; a discussion of metadata as it relates to resources on the Web; a description of methods, tools, standards, and protocols that can be used to publish and disseminate digital collections;

  • Describing Data Patterns: A Deconstruction of Metadata Standards

    It analyzes the methods, technologies, standards, and languages to structure and describe data in their entirety. It reveals common features, hidden assumptions, and ubiquitous patterns among these methods and shows how data are actually structured and described.

  • Text Mining with R: A Tidy Approach (Julia Silge, et al)

    You'll explore text-mining techniques with tidytext, a package that authors developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.

  • Think Data Structures: Algorithms and Information Retrieval

    This practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. Useful in technical interviews too.

Book Categories
:
Other Categories
Resources and Links