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