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CSC3102: INFORMATION RETRIEVAL
Core/Elective: Core Semester: 1 Credits: 4
Course Description

Information retrieval is the academic discipline which underlies computer-based text search tools. This course covers both the theory and practice of text retrieval technology. Topics include automatic index construction, formal models of retrieval, textual representations, efficiency issues, Internet search engines, text classification, and multilingual retrieval.

Course Objectives

Students will learn the underlying technology of search engines.
Gain practical experience building simple, but true-to-practice retrieval software
Appreciate topics in the broad area of information retrieval, including evaluation, classification, cross-language retrieval, and computational linguistics

Course Content

1. Introduction, Data Retrieval & Information Retrieval, An Information Retrieval System, Automatic Text Analysis, Index term weighting, Probabilistic Indexing

2. Classification, Measures of Association, Cluster Hypothesis, Single Link Clusters, File Structures, Inverted Files, Index Sequential Files, Ring Structures, Doubly Chained Trees, Hash Addressing

3. Modeling, Boolean Model, Vector Model, Probabilistic Model, Set Theoretical Models, Structured Text Retrieval Models, Models for Browsing

4. Search Engines, Boolean Search, Matching Functions, Serial Search, Cluster Representatives, Cluster based retrieval

5. Evaluation, Relevance, Precision and Recall, Interpolation, Averaging techniques, The Swets Model

REFERNCES

1. Modern Information Retrieval: The Concepts and Technology behind Search (2nd Ed): Ricardo Baezce Yates, Berthier Ribeiro-Neto, AW (2011)
2. Introduction to Information Retrieval (1st Ed): Christopher D. Manning, Prabhakar Raghavan and Hinrich Sch├╝tze, Cambridge University Press (2008)
3. Search Engines: Information Retrieval in Practice (1st Ed): Bruce Croft, Donald Metzler and Trevor Strohman, AW (2009)
4. Information Retrieval: C.J. Van Rijsbergen, http://www.dcs.gla.ac.uk/Keith/Preface.html
5. Information Retrieval Systems, Theory & Implementation (1st Ed): Gerald Kowalski, Springer (1997)
6. Information Storage & Retrieval (1st Ed): Robert Korfage, Wiely (1997)


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