Experiment and Evaluation in Information Retrieval Models

by K. Latha

Overview

Experiment and Evaluation in Information Retrieval Models explores different algorithms for the application of evolutionary computation to the field of information retrieval (IR). As well as examining existing approaches to resolving some of the problems in this field, results obtained by researchers are critically evaluated in order to give readers a clear view of the topic.

In addition, this book covers Algorithmic Solutions to the Problems in Advanced IR Concepts, including Feature Selection for Document Ranking, web page classification and recommendation, Facet Generation for Document Retrieval, Duplication Detection and seeker satisfaction in question answering community Portals.

Written with students and researchers in the field on information retrieval in mind, this book is also a useful tool for researchers in the natural and social sciences interested in the latest developments in the fast-moving subject area.

Key features:

Focusing on recent topics in Information Retrieval research, Experiment and Evaluation in Information Retrieval Models explores the following topics in detail:

• Searching in social media
• Using semantic annotations
• Ranking documents based on Facets
• Evaluating IR systems offline and online
• The role of evolutionary computation in IR
• Document and term clustering,
• Image retrieval
• Design of user profiles for IR
• Web page classification and recommendation
• Relevance feedback approach for Document and image retrieval

Product Details

ISBN-13:	9781138032316
Publisher:	Taylor & Francis
Publication date:	07/27/2017
Pages:	302
Product dimensions:	7.00(w) x 10.00(h) x (d)

About the Author

Dr. K. Latha is an Assistant Professor of Computer Science and Engineering Department, Anna University,Tiruchirappalli,TamilNadu,India. She is a graduate of B.E (ECE) from Bharathidasan University, and M.E (CSE) from Madurai Kamaraj University. She earned her Doctorate from Anna University Chennai. Her areas of interest include Information Retrieval, Data mining, Text mining, Web mining, Cloud computing and Network security. She has 16 years of teaching experience and produced several doctorates in Anna University, Chennai. She has published around 80 papers in International journals and conferences and received best paper award for 5 papers conducted by IEEE. She delivered special lectures, keynotes, Presidential Address and acted as a resource and chairperson in many International conferences. She received leader’s charity award in academic excellence in Madurai Kamaraj University for Master of engineering in CSE. She is closely associated with IIT Kanpur. She has received grant from AICTE, TEQIP and organized several workshops, seminar, and conferences. She has been appointed as a Research Advisory Council member by Anna University, Chennai. She has generated over 5 lakhs in research funding that includes a TEQIP –II Sponsored Young faculty research support scheme. She is a Principal Investigator of research proposal entitled “Sustaining Ecosystem from Species Extinction using Data Mining Techniques” under YFRSS. She has authored two Engineering technical scientific books on “DATA WAREHOUSING AND DATA MINING FOR ENGINEERING APPLICATIONS” and “SYSTEM PROGRAMMING AND ORGANIZATION” have been accepted by IK International Publishing House Pvt Ltd and Narosa Publishing House International Private Limited, Publishers of Science, Technology and Medicine, New- Delhi. She has acted as an Expert in the Constitution of Oral Examination board for the conduct of Viva-Voce in respect of the Research Scholars for Ph.D Programme, Anna University,Chennai .She has been appointed as a Member of Inspection Committee for Inspection-CAI –Anna University, Chennai-Affiliation-Consideration of granting of provisional /permanent affiliation for Engineering Colleges.

Table of Contents

INTRODUCTION. INTRODUCTION TO INFORMATION RETRIEVAL. INFORMATION RETRIEVAL MODELS. MODEL FORMULATIONS OF INFORMATION RETRIEVAL TECHNIQUES. ALGORITHMIC SOLUTIONS TO THE PROBLEMS IN ADVANCED IR CONCEPTS. FINDINGS AND SUMMARY OF CHAPTERS.