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Modern Information Retrieval - 40-324 |
- Credit: 3 Units
- Semester: Spring 2006
- Group: 1
- Lecture Class:
Sundays and Tuesdays, 15:00-16:30
- Room:
Khaarazmi Hall
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Text Book(s)
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We will use various textbooks this semester but main of them is :
"Modern Information Retrieval, 1/e Authors: Ricardo Baeza-Yates,Berthier Ribeiro-Neto.
This semester following topics will be covered:
- Introduction
- IR Models (Boolean Model and Vector Space Model)
- IR Models (Probabilistic Model)
- IR Models (Fuzzy and Extended Boolean Models)
- IR Models (Generalized Vector Model)
- IR Models (Latent Semantic Indexing and Neural Networks)
- IR Models (Bayesian Model and Structured models)
- Information Retrieval Evaluation
- Query languages
- Query Reformulation
- Intelligent Query Expansion
- Text and Multimedia Languages Properties
- IR in Semi-Structured Documents
- Text processing
- Indexing and Searching
- Web IR
- Multimedia IR
- Multi-lingual IR
- P2P IR
- Data Mining (Introduction, Application and Tasks, EDA)
- Data Mining (Simple Algorithms of Classification)
- Data Mining (Simple Algorithms of Clustering, Association Rules)
- Semantic Web Introduction
- Searching The Semantic Web
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Evaluation [Grading Policy ]
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- Homework Assignment => 2.5%
- Proj1 (Comparing IR Models) =>7.5%
- Proj2 (Meta Searching) => 5%
- Proj3 (Farsi Information Retrieval) => 5%
- Proj4 (Data Mining) => 5%
- Final Project (Not Specified Yet) => 20%
- Midterm Exam => 25%
- Final Exam => 30%
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