CS570 | FUNDAMENTALS OF INFORMATION RETRIEVAL | 3-0-2-8 |
Pre-requisites : NIL |
Syllabus : This course is intended for both undergraduate and postgraduate students. The domain of Information Retrieval (IR) is concerned with the extraction of relevant information from large collections of documents. It has applications to proprietary retrieval systems as well as the WWW, Digital Libraries and commercial recommendation systems. The objective of the course is to introduce students to the theoretical underpinnings of IR and practical experience in the construction of IR systems through a series of programming assignments. Introduction: concepts and terminology of information retrieval systems, Information Retrieval Vs Information Extraction; Indexing: inverted files, encoding, Zipf's Law, compression, boolean queries; Fundamental IR models: Boolean, Vector Space, probabilistic, TFIDF, Okapi, language modeling, latent semantic indexing, query processing and refinement techniques; Performance Evaluation: precision, recall, F-measure; Classification: Rocchio, Naive Bayes, k-nearest neighbors, support vector machine; Clustering: partitioning methods, k-means clustering, hierarchical; Introduction to advanced topics: search, relevance feedback, ranking, query expansion. |
Texts : 1. Christopher D. Manning, Prabhakar Raghavan and Hinrich Schtze, Introduction to Information Retrieval, Cambridge University Press. 2008. 2. Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval, Addison Wesley, 1st edition, 1999. |
References : 1. Soumen Chakrabarti, Mining the Web, Morgan-Kaufmann Publishers, 2002. 2. Bing Liu, Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, Springer, Corr. 2nd printing edition, 2009. 3. David A. Grossman, Ophir Frieder, Information Retrieval: Algorithms and Heuristics, Springer, 2nd edition, 2004. 4. William B. Frakes, Ricardo Baeza-Yates, Information Retrieval Data Structures and Algorithms, Prentice Hall, 1992. 5. G. Salton, M. J. McGill, Introduction to Modern Information Retrieval, McGraw-Hill, 1986. 6. C. J. Van Rijsbergen, Information Retrieval, Butterworth-Heinemann; 2nd edition, 1979. |