Course Info
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Course Category
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Computer Science/Information Technology
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Course Level
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Graduate
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Credit Hours
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3
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Pre-requisites
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N/A
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Instructor
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Dr. Adnan Abid
PhD
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Course Contents
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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; Cosine Similarity Measure,
Parsing Documents,
Token Numbers Stop Words,
Terms Normalization,
Lemmatization Stemming,
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
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