Intelligent Information Retrieval

Course Name: 

Intelligent Information Retrieval(CS913)



Credits (L-T-P): 



Overview of IR Systems, Historical Perspectives, Basic Evaluation, Document Representation: Statistical Characteristics of Text, Basic Query Processing, Data Structure and File Organization for IR, Automatic Indexing and Indexing Models, Retrieval Models: Similarity Measures and Ranking, Boolean Matching, Vector Space Models, Probabilistic Models, Search and Filtering Techniques: Relevance Feedback, User Profiles, Collaborative Filtering, Document and Term Clustering, Document Categorization, IR Systems and the WWW, Heterogeneous Information Sources, Intelligent Web Agents, Web Mining and Its Applications.


1. D. Grossman and O. Frieder,"Information Retrieval: Algorithms and Heuristics", Kluwer Academic Press.
2. Richard K. Belew, "Finding Out About: A Cognitive Perspective on Search Engine Technology and the WWW", Cambridge University Press, 2001.
3. C. J. van Rijsbergen , "Information Retrieval".


Computer Science and Engineering

Contact us

P Santhi Thilagam
Associate Professor and Head
Department of CSE, NITK, Surathkal
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.

  • Hot line: +91-0824-2474060

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