Basic Information
Architecture of Search Engines, Performance Evaluation, Relevance Ranking (boolean, Vector-space, Probabilistic, Statistical Language Models), Modeling User Feedback, Web Retrieval, Machine-learning-based Classification, Clustering.
Faculty: Data and Decision Sciences
|Undergraduate Studies
|Graduate Studies
Pre-required courses
(94219 - Software Engineering and 94411 - Probability (ie) and 104009 - Linear Algebra M) or (94219 - Software Engineering and 94412 - Probability (advanced) and 104167 - Algebra A)
Related Books
- Introduction to information retrieval [electronic resource] / Christopher D. Manning, Prabhakar Raghavan, Hinrich Schutze. - Manning, Christopher D.
- Introduction to information retrieval / Christopher D. Manning, Prabhakar Raghavan, Hinrich Schutze. - Manning, Christopher D.
- Search engines : information retrieval in practice / W. Bruce Croft, Donald Metzler, Trevor Strohman. - Croft, W. Bruce
Semestrial Information
Weekly Hours
3.5 Academic Credit • 3 Lecture Hours • 1 Discussion Hours
Responsible(s)
Oren Kurland
Exams
Session A: 26-08-2024 Session B: 10-10-2024Registration Groups
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Weekly Hours
3.5 Academic Credit • 3 Lecture Hours • 1 Discussion Hours
Responsible(s)
Oren Kurland
Registration Groups
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Weekly Hours
3.5 Academic Credit • 3 Lecture Hours • 1 Discussion Hours
Responsible(s)
Michael Gregory
Exams
Session A: 18-07-2022 09:00 - 12:00- בלומפילד 424. 527.
- בלומפילד 424. 526.
Registration Groups
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