Intelligent Information Retrieval

Course Name: 

Intelligent Information Retrieval(CS913)

Programme: 

Ph.D

Credits (L-T-P): 

04(3-1-0)

Content: 

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.

References: 

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".

Department: 

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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