IST-843
MS
Advanced Information Retrieval Techniques
(DE) Domain Elective
Theory: 3 Cr. Hrs
Total: 3 Cr. Hrs
Information Retrieval, Boolean Retrieval Model and Query Processing, Phrase Queries and Positional Queries, Ranked Retrieval Models: Motivation, Jaccard Coefficient, Log Frequency Weighting, TFIDF, SMART, Cosine Similarity Measures, Evaluating Search Engines, TF Transformation and BM25, BM25F and BM25+, Evaluation Measures: Precision, Recall, F-Measure, Average Precision, MAP and gMAP, Mean Reciprocal Rank, nDCG, Kappa Measure, Index Compression: RCV-1 Statistics, Dictionary Compression, Postings Compression, Text Classification, Naïve Bayesian, Probabilistic Retrieval Model, Probabilistic Language Modelling, N-gram language modelling, Feedback in text retrieval, Feedback in Vector Space Model, Link analysis and Page Rank, Recommender Systems: Content Based Recommendation and Collaborative Filtering
In Programmes
MS
MS (Information Science & Technology)
Electives Pool —
Elective (Current Scheme)