Information Retrieval

Dr. Madhavi Vaidya, Yashowardhan Sowale

ISBN: 9789354249419

INR 799

Description

Information Retrieval is the science of finding specific information in a document. Many techniques are now available for Information Retrieval. This book covers the various ranking Algorithms, along with their explanation in relation to Natural Language Processing. The book covers the latest aspects of the design and implementation of information retrieval systems for gathering, indexing, searching documents and methods for evaluating different techniques.

Author’s Biography

Acknowledgment

Preface

Foreword

 

1. Boolean Retrieval

  • Exploring Information Retrieval Systems
  • Indexing in Information Retrieval
  • Bitwise Operations          

 

2. Tokenization And Tolerant Retrieval

  • Vector Space Model
  • Vocabulary in Information Retrieval
  • Tokenizing
  • Stemming
  • Lemmatization
  • Concept of Wildcard Queries in IR
  • Stopword
  • Installing NLTK
  • Introducing NLP

 

3. Ranking Algorithms

  • Link Analysis
  • HITS Algorithm
  • Google Panda Algorithm
  • Personalized Search
  • Collaborative Filtering
  • Question Answering
  • Text Summarization
  • Word Cloud Generation
  • Keyword Extraction
  • Knowledge Graph
  • SERP – Search Engine Results Page

 

4. Introduction To Big Data

  • Introduction to Data and Big Data Concepts
  • Introduction to Big Data and Hadoop

 

5. Distributed And Parallel Computing For Big Data

  • Use Cases of Big Data Analytics
  • How Organizations are getting on Big Data Bandwagon?
  • Concept of Business Data Lake
  • New Hadoop Features for Complex Business Data Lakes
  • Role of Big Data in Information Retrieval
  • 6. Hadoop Ecosystem And Big Data Processing
  • Introducing YARN (Yet Another Resource Negotiator)
  • Why YARN Based Architecture is Needed and How to Plan for It?
  • Failures in YARN and Causes
  • Hive
  • Apache Spark

 

7. Parallel And Distributed IR

  • Introduction to Parallel Computing
  • Applications of Parallel Computing
  • Parallel IR
  • Integration of IR in Object Databases
  • Online Public Access Catalogs (OPACs) and Their Contents
  • Libraries and Digital Library Projects

 

8. Searching The Web

  • Introduction to Web Search Engines
  • Exploring Types of Search Engines
  • XML Concepts

 

9. Introduction To Machine Learning

  • What is Artificial Intelligence and Machine Learning?

 

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