Week | Date | Lectures and Reading | Reading, HW and Quizzes |
01 | 01/04, Wed | Syllabus, Overview of IR Systems, Historical Perspective, ppt | Chap. 01, HW01 Assigned |
02 | 01/09, Mon | Vector Space Model , Indexing ppt, IR Models ppt | Chap. 06 |
01/11, Wed | Information Retreival on the World Wide Web (Gudivada et.al.) | Summary Due, HW01 Due | |
03 | 01/16, Mon | MLK holiday |
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01/18, Wed | Evaluation in IR, ppt | Chap. 08, Project Proposal Due | |
04 | 01/23, Mon | Relevance Feedback, ppt | Chap. 09 |
01/25, Wed | Stuff I've Seen: A System for Personal Information Retrieval and Re-Use (Dumais et.al) | Summary Due, Quiz 01, HW02 Due | |
05 | 01/30, Mon | Filteirng/CF | SEIRiP Chap. 10 (filtering) |
02/01, Wed | Unified Relevance Feedback for Multi-Application User Interest Modeling (Jayarathna et.al) |
Summary Due, Project Progress Report 1 Due | |
06 | 02/06, Mon | Text Classification, Vector Space Classification ppt | Chap. 13 & 14 |
02/08, Wed | The Netflix Recommender System: Algorithms, Business Value, and Innovation (Carlos et.al) | Quiz 02 | |
07 | 02/13, Mon | Introduction to Weka ppt | HW03 Due |
02/15, Wed | Change Detection and Classification of Digital Collections (Jayarathna et.al) | ||
08 | 02/20, Mon | Support Vector Machines and ML on Documents | Chap. 15, Quiz 03 |
02/22, Wed | Uncovering Social Spammers: Social Honeypots + Machine Learning (Lee et.al) | Project Progress Report Due, HW04 Due | |
09 | 02/27, Mon | Clustering | Chap. 16 & 17 |
03/01, Wed | Data clustering: 50 yeras beyond K-means (Jain et.al) | Quiz 04 | |
10 | 03/06, Mon | Matrix Decomposition and LDA | Chap. 18, HW05 Due |
03/08, Wed | Project Presentation and Demo | Extra Credit Due, Project Final Report Due | |
03/13, Mon | Final Exam, 6.00 pm - 7.45 pm |