Computer Science 435
Information Retrieval, Discovery, and Delivery
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and Readings |
Work of the Course |
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Information about the Course Project
Each student will do a final project of his or her choosing related to
the material of the course.
Information on Project requirements:
Project Report due 5:00 pm Dean's Date, Tuesday May
You are required to submit a report that describes
your project. This must include the statement of the topic and the
goals of the project, your methodology
and the results. If it is an experimental project, you need to describe
what was implemented, the major implementation decisions, how you
the experiments, and the experimental results. If you developed a
system or tool, you may not have experiments per se, but you must
describe how you are evaluating the project and the outcome. You
should also relate your work to other work on the problem. Your
code should be in an
appendix or posted on a Web page with the URL provided (Web posting is
preferred). If your project is a theoretical study, you need to
describe the problem,
review what was known about the problem before your analysis, and give
the details and the results of your theoretical analysis. If your
project is a literature-based
project, you need to describe the major issues under study, summarize
major techniques and the theoretical and/or experimental results
presented in the literature and critically
analyze the results. For any type of
project, be sure to include a bibliography of all the sources you used.
Projects will be graded
on thoroughness and depth of thought. Difficulty
will be taken into consideration. Keep in mind that evaluation
is an important part of any project. Be clear on the goals of your
and how you demonstrate or measure success.
If you have implemented something that lends itself to live
demonstration, I would like to see it after I receive your report
and before 5pm Mon. May 22, 2006.
Due Thursday March 17, 2006.Submit by email a paragraph
describing your project. Include as
much detail as possible. This will be the starting point of a
discussion with Professor LaPaugh to make sure the project is of the
appropriate scope for a class project.
List of suggested projects. This list will be
expanded as the semester progresses.
These topics are fairly
broad and need further refinement based on a student's particular
interests. Students are
encouraged to suggest other project topics based on their
- Do a literature search and analysis of the state of the art of
video libraries and video retrieval (no implementation). Any
other media can be substituted here - image, music. Data mining
activities can be substituted for retrieval activities.
- Experiment with recommender systems for a particular application
-- learn the techniques and experiment with your own.
- Investigate the use of dependence among index terms (e.g.
co-occurrence) in the literature and by your own
- Investigate the history and development of the SMART project at
Cornell (originally Harvard) by Dr. G. Salton.
This project produced many results in classic information retrieval (no
- Investigate the problems with digitizing of old documents to
build digital archives: optical character
recognition (OCR), searching "OCRed" documents.
- Investigate searches for handheld display. What special
things are done now by companies providing service? How do
search engines perform? Are special ranking algorithms needed
that do REALLY well at getting the top few ( 5? 7?)? Are there things
that can be done? Propose one and test.
- Investigate one or more variations on the use of inference
networks for search beyond what we do in class. Test variations
from the literature or suggest your own. Implement and test
against small document collection.
- Investigate inference networks for non-text collections searched
using text queries or non-text queries.
- Investigate the data mining of a data stream from a particular
application, e.g. a particular set of sensors.
- Investigate the use of clustering in some application.
- Propose and implement a visualization of the relationship between
some collection of objects (text documents, images, Web pages, etc.)
- Experiment with methods for predicting the next Web page a user
- Investigate the efficiency of matching publications to
subscriptions in various places within a publish-subscribe architecture.
A.S. LaPaugh Fri Apr 14 16:16:20 EDT 2006