Course

Introduction to Information retrieval – Information Need and User Query – IR domains – Boolean Expression Based Retrieval: Vocabulary and Postings – Lists – Dictionaries and Tolerant Retrieval – Index Construction and Compression – Scoring and Vector Space Model – Score Computation – Evaluating Information Retrieval Systems – Relevance Feedback and Query Expansion – XML Based Retrieval– Probabilistic Models – Language Models – Text Classification – Vector Space Classification – SVM Based Document Classification –Latent Semantic Indexing – Web Search – Web Crawlers – Link Analysis – Unstructured Data Retrieval Semantic Web – Ontology – Implementations using Natural Language Toolkit.

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 OphirFrieder “Information Retrieval: Algorithms and Heuristics”, Second Edition, Springer 2004.