Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval / Edition 1

by W. Bruce Croft

Overview

The Center for Intelligent Information Retrieval (CIIR) was formed in the Computer Science Department of the University ofMassachusetts, Amherst in 1992. The core support for the Center came from a National Science Foun- tion State/Industry/University Cooperative Research Center(S/IUCRC) grant, although there had been a sizeable information retrieval (IR) research group for over 10 years prior to that grant. Thebasic goal of these Centers is to combine basic research, applied research, and technology transfer. The CIIR has been successful in each of these areas, in that it has produced over 270 research papers, has been involved in many successful government and industry collaborations, and has had a significant role in high-visibility Internet sites and start-ups. As a result of these efforts, the CIIR has become known internationally as one of the leading research groups in the area of information retrieval. The CIIR focuses on research that results in more effective and efficient access and discovery in large, heterogeneous, distributed, text and multimedia databases. The scope of the work that is done in the CIIR is broad and goes significantly beyond “traditional” areas of information retrieval such as retrieval models, cross-lingual search, and automatic query expansion. The research includes both low-level systems issues such as the design of prools and architectures for distributed search, as well as more human-centered topics such as user interface design, visualization and data mining with text, and multimedia retrieval.

Product Details

ISBN-13:	9780792378129
Publisher:	Springer US
Publication date:	04/30/2000
Series:	The Information Retrieval Series , #7
Edition description:	2000
Pages:	306
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Combining Approaches to Information Retrieval.- The use of Exploratory Data Analysis in Information Retrieval Research.- Language Models for Relevance Feedback.- Topic Detection and Tracking: Event Clustering as a Basis for First Story Detection.- Distributed Information Retrieval.- Topic-Based Language Models for Distributed Retrieval.- The Effect of Collection Organization and Query Locality on Information Retrieval System Performance.- Cross-Language Retrieval via Transitive Translation.- Building, Testing, and Applying Concept Hierarchies.- Appearance-Based Global Similarity Retrieval of Images.

Editorial Reviews

Ten contributions provide an overview of the state of the art, including recent theoretical advances and experimental results. Among the topics: the use of exploratory data analysis in information retrieval research; language models for relevance feedback; topic detection and tracking; topic-based language models; the effect of collection organization and query locality on information retrieval system performance; cross-language retrieval via transitive translation; and building, testing, and applying concept hierarchies; and appearance-based global similarity retrieval of images. The book is intended to serve both as source material for graduate courses, and as reference for researchers and practitioners in industry. The Center for Intelligent Information Retrieval is at the U. of Massachusetts, Amherst. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews

‘The book makes very interesting reading for casual or serious developers of IR systems and anyone who is interested in obtaining pragmatic knowledge from text passages.'
Computational Linguistics, 27:2 (2001)

From the Publisher