Modern Information Retrieval (CS-7004)
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RGPV notes CBGS Bachelor of engineering
Syllabus
UNIT 1:
Introduction: Information versus data retrieval, the retrieval process, taxonomy of
Information Retrieval Models.
UNIT 2:
Classic Information Retrieval Techniques: Boolean Model, Vector model, Probabilistic
Model, comparison of classical models. Introduction to alternative algebraic models such
as Latent Semantic Indexing etc.
UNIT 3:
Keyword based Queries, User Relevance Feedback: Query Expansion and Rewriting,
Document preprocessing and clustering, Indexing and Searching: Inverted Index
construction, Introduction to Pattern matching.
UNIT 4:
Web Search: Crawling and Indexes, Search Engine architectures, Link Analysis and
ranking algorithms such as HITS and PageRank, Meta searches, Performance
Evaluation of search engines using various measures, Introduction to search engine
optimization.
UNIT 5:
5. Introduction to online IR Systems, Digital Library searches and web Personalization.
NOTES
- Unit 1
- Unit 2
- Unit 3
- Unit 4
- Unit 5
Text Books
1. Ricardo Baeza-Yates and Berthier Ribeiro-Neto, “Modern Information Retrieval” Pearson
Education
2. C. Manning, P. Raghvan and H. Schutze, “Introduction to Information Retrieval”,
Cambridge University Press.
Books Recommended
1. Amy N. Langville and Carl D. Meyer, “Google’s PageRank and Beyond: The Science of
Search Engine Rankings”, Princeton University Press
2. Pierre Baldi, Paolo Frasconi and PadhraicSmythe, “Modelling the internet and the web:
Probabilistic methods and Algorithms”, John Wiley
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