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Course Detail

Course Name Information Retrieval
Course Code 18CS705
Credits Coimbatore
Year Taught 2018


Course Syllabus

Introduction to IR: Space Retrieval Models – Ranked Retrieval – Text Similarity Metrics – Tokenizing- stemming-Evaluations on benchmark text collections – Components of an information retrieval system. Indexing for IR: Inverted Indices – Postings lists – Optimizing indices with skip lists – Proximity and phrase queries – Positional indices – Dictionaries and tolerant retrieval – Dictionary data structures – Wild-card queries- n-gram indices – Spelling correction and synonyms – Edit distance – Index construction – Dynamic indexing – Distributed indexing – real-world issues. Relevance in IR: Parametric or fielded search – Document zones – Vector space retrieval model – tf.idf weighting – queries as vectors – Computing scores in a complete search system – Efficient scoring and ranking – Evaluation in information retrieval : User happiness- Creating test collections: kappa measure-interjudge agreement – Relevance feedback and query expansion: Query expansion – Automatic thesaurus generation – Sense-based retrieval -. Document Classification and Clustering: Introduction to text classification -Latent Semantic Indexing.

Text Books

  1. C. Manning, P. Raghavan, and H. Schütze, “Introduction to Information Retrieval”, Cambridge University Press, 2008.
  2. R. Baeza-Yates and B. Ribeiro Neto,“Modern Information Retrieval: The Concepts and Technology behind Search”, Second Edition, Addison Wesley, 2011.
  3. David A. Grossman and Ophir Frieder “Information Retrieval: Algorithms and Heuristics”, Second Edition, Springer 2004.


‘Information Retrieval’ is an elective course offered in M. Tech. in Computer Science and Engineering at School of Engineering, Amrita Vishwa Vidyapeetham.

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