Prerequisites:
Fundamental knowledge of information retrieval strategies and techniques
similar to those taught in CS 429.
Grading:
Grades will be determined based on class projects and participation.
Grades assigned will be as follows:
‘A’ (satisfactorily completed all class assignments)
‘C’ (marginally completed all class assignments)
‘I’ (justifiably did not complete class assignment - rarely given)
Textbook:
D. Grossman and O. Frieder, Information Retrieval:
Algorithms and Heuristics, Kluwer Academic Publishers,
Second Edition -- Draft, 2004 (to appear).
Pdf file to be mailed to you once your email is received.
Assignments:
There are three assignments:
Book: reviewing prerequisite material and correcting errors
Groups of two members; at least 25 points needed:
1 point for each typo
5 points for each example error – one per figure/table
8 points for each error in formula
0 points for any error detected by 3 or more groups
Class Topic: in depth study and presentation of selected topic
Groups of two members; topics:
Cross Lingual Information Retrieval
Duplicate Document Detection
Fusion
Language Models
Mediators
Medical Informatics
Parallel Information Retrieval
Text Mining
Requirements: 15-20 PowerPoint slides, 5 page summary, and presentation
Research Proposal: individual research proposal for extended study.
Research effort is not required; however, proposal and proposed means of
evaluation of approach are required. 5 page proposal and 15 minute
presentation required.
Slides for the Research Proposal and the latest presentation (Medical Informatics) are here.
