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INFORMATION RETRIEVAL (BAI515B)

INFORMATION RETRIEVAL

Course Code BAI515B 
CIE Marks 50
Teaching Hours/Week (L: T:P: S) 3:0:0:0 
SEE Marks 50
Total Hours of Pedagogy 40 
Total Marks 100
Credits 03 
Exam Hours 03
Examination type (SEE) Theory




Module-1

Introduction: Information retrieval, IR problem, IR System, The web.

User interfaces for search: Introduction, How people search, Search interfaces today,

Visualization on search interfaces, Design and evaluation of search interfaces.




Module-2

Modeling: IR models, Classic information retrieval, Alternative set theoretic models,

Alternative algebraic models, Alternative probabilistic models, Other models.




Module-3

Retrieval Evaluation: Retrieval metrics, Reference Collections, User-based evaluation

Relevance feedback and Query expansion: A framework for feedback methods,

Explicit relevance feedback, Explicit feedback through clicks, Implicit feedback through

local analysis, Implicit feedback through global analysis

Documents - Languages and Properties: Metadata, Document formats, Text properties,

Document preprocessing, Organizing documents, Text compression




Module-4

Indexing and Searching: Inverted indexes, Signature files, Suffix trees and suffix arrays,

Sequential searching, Multi-dimensional indexing.




Module-5

Web retrieval: The web, Search engine architectures, Search engine ranking, Managing

web data, Search engine user interaction.

Structured Text Retrieval: Structuring Power, Early text retrieval models, XML retrieval,

XML retrieval evaluation.




Suggested Learning Resources:

Text Books:

1. Ricardo BaezaYates and BerthierRibeiroNeto, Modern Information Retrieval, 2nd Edition, Pearson 2011



Reference Books:

1. Stefan Buettcher, Charles L. A. Clarke and Gordon V. Cormack, ―Information Retrieval: Implementing

and Evaluating Search Engines, The MIT Press, 2010.

2. Information Storage and Retrieval Systems: Theory and Implementation, Kowalski, Gerald, Mark T

Maybury, Springer, 2nd Edition, 2002

3. Modern Information Retrieval, Ricardo Baeza-Yates, Pearson Education, 2007. 

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