Midterm
Presentations
CS520, Fall 2006
Due: Tuesday, November 7
Please upload your midterm presentation slides to CSNS.
One submission
from each group is sufficient. Note that file
uploading will be disabled automatically after 11:59PM
of the due date, so please
turn in your work on time.
Each group must choose to present one of the WWW 2006 papers
listed in the Papers section. Each group member must present at least
10 minutes, and each
presentation must be at least 30 minutes and no more than an hour.
Please let me know what paper you choose by Friday, October 27. Paper selection
is first-come-first-serve.
Here are some of the things I'll look for in your presentation:
- Understanding of the technologies/algorithms/theories
discussed in the paper
- Coverage of the background information and related work
- Organization of the material
- Presentation skills, i.e. the way you stand, talk, and interact
with the audience, and time management
Total points for the midterm presentation is 20, half of which is for
the presentation as a whole, and the other half is for individual
performance. To get a good
individual score, please make sure you understand the whole paper, not
just the part you present.
In particular, I may ask you questions about things presented by your
group members, and you are supposed to able to answer them.
[Schedule]
1. Jose and John - Browsing
on Small Screens: Recasting Web-Page Segmentation into an Efficient
Machine Learning Framework, by Shumeet Baluja.
2. Jigar, Dhaval, Kunjal, and Mayur - Detecting
Online Commercial Intention (OCI), by Honghua Dai, Lingzhi
Zhao, Zaiqing Nie, Ji-Rong Wen, Lee Wang, and Ying Li.
3. Chanwit, Devangi, Ishani, and Habib - Addressing
the Testing Challenge with a Web-Based E-Assessment System that Tutors
as it Assesses, by Mingyu Feng, Neil T. Heffernan, and
Kenneth R. Koedinger.
4. Christopher, Harumi, and Armando - Random
Sampling from a Search Engine's Index, by Ziv Bar-Yossef and
Maxim Gurevich. (WWW 2006 Best Paper Award)
5. Richard - Visualizing
Tags over Time, by Micah Dubinko, Ravi Kumar, Joseph Magnani,
Jasmine Novak, Prabhakar Raghavan, and Andrew Tomkins.
[Papers]
1. FeedEx:
Collaborative Exchange of News Feeds, by Seung Jun and
Mustaque Ahamad.
2. Probabilistic
Models for Discovering E-Communities, by Ding Zhou, Eren
Manavoglu,Jia Li, C. Lee Giles, and Hongyuan Zha.
3. Communities
from Seed Sets, by Reid Andersen and Kevin J. Lang.