[ Home | Schedule | Announcements ]
Date | Topic | Reading | Handouts |
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Oct 23 | IR systems, functional view | Chapters 1 and 2 of the Textbook | lecture1 |
Oct 28 | IR under the hood 1: Vector Space Model, term weighting, evaluation and query expansion | lecture2 | |
IR under the hood 2: Generalized Vector Space Model and Maximal Marginal Relevance | |||
Applying IR to Ecommerce | |||
Distributed Information Retrieval Special Guest Lecturer: Dr. Jaime Callan |
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Text Categorization: k Nearest Neighbour
Algorithm Special Guest Lecturer: Paul Bennett |
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Building Web Spiders | |||
Midterm Exam (in-class) | |||
Text Extraction & Mining | |||
Introduction to Data Mining | |||
Speech Processing: Recognition and Synthesis Special Guest Lecturer: Dr. Alan Black |
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Business Applications for Information Retrieval and Data Mining | |||
Project Presentations by Students |
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Dec 13 2:00pm-5:00pm | Final Exam | - |
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