CS-726 Information Retrieval Techniques
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Course Category: Computer Science/Information Technology
Course Level: Graduate
Credit Hours: 3
Pre-requisites: CS403
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CS726-MidTerm-2016-Solutions
Course Contents:
Introduction, Information Retrieval Models Boolean Retrieval Model, Boolean Retrieval Model Rank Retrieval Model, Vector Space Retrieval Model, TF-IDF Weighting Document Representation in Vector Space Query Representation in Vector Space Similarity Measures, Similarity Measures Cosine Similarity Measure, Parsing Documents, Token Numbers Stop Words, Terms Normalization, Lemmatization Stemming, Compression, Compression, Index Constructions, Merge Sort, Phrase queries, Processing a phrase query Proximity queries, Wild Card Queries B Tree, Permuterm index k-gram, Spelling Correction, Performance Evaluation of Information Retrieval Systems, BENCHMARKS FOR THE EVALUATION OF IR SYSTEMS, Precision and Recall, Mean Average Precision Non Binary Relevance DCG NDCG, Using user Clicks, Cosine Ranking, Sampling and pre-grouping, Dimensionality reduction, Web Search, Spidering, Web Crawler, Distributed Index, Link Analysis, Markov chains, HITS, Search Computing, Top-k Query Processing, Clustering, Classification, Recommender Systems, Final Notes on Information Retrieval
Course Instructor

Dr. Adnan Abid, PhD.
Books

Introduction to Information Retrieval by C. Manning, P. Raghavan, and H. Schuetze

Modern Information Retrieval: The Concepts and Technology behind Search by Ricardo Baeza-Yates, Berthier Ribeiro-Neto

Web Information Retrieval: Data Centric Systems and Applications by Stefano Ceri, Alessandro Bozzon, Marco Brambilla, Emanuele Della Valle, Piero Fraternali, Silvia Quarteroni

Managing Gigabytes: Compressing and Indexing Documents and Images by Ian H. Witten, Alistair Moffat, and Timothy C. Bell