Thomas Schneidner |
Liked the LSI and matrix stuff. Learned a
lot compared to linear algebra class. Using JAMA for SVD decomposition. Also liked Semantic Web—the Sci. Am.
Article. |
Priyamvada Tripathi |
Project was interesting since it brought
together everything made her appreciate the efficiency issues such as memory
handling. |
Thomas Hernandez |
The theory behind Pagerank, and how his page got higher rank because
some MIT guy points to his page.[r1] |
Luis Casian |
Authority hubs and the discussion on the
notion of importance; understanding the idea that Google can point to pages
that it did not even crawl just based on collective references to it. Felt that lack of Database background made
second part harder to follow. |
Kanav Kahol |
Was impressed at how much IR could be done
without requiring NLP. Was impressed that one single (primary) eigen vector
is enough to get importance (while multiple eigen vectors are needed for face
recognition using eigen faces). Wants to apply techniques learnt in
content-based image retrieval. Database part was okay. He is “mesmerized”
by the largely unsuccessful efforts at standard-enforcement in semantic web. Liked the readings. |
Jai Kannan |
Liked the Anatomy of Google paper describing search engine
technology. Thinks all this will help him in developing 3-D search engine. |
Viet Hung |
Google pagerank algorithm (and his own
“hit-based” extensions to notions of importance). Also like the content-based
recommender systems such as NBC. Felt that data-integration was still
researchy. |
Shane Calhoun |
Felt that most of it went over his head. Felt that the class as well project was
very difficult. Does feel that he now knows where to go to
understand stuff learnt in the class. Liked(?) that the class talks about current
research directions unlike other 300 level courses and hence interesting
though hard. |
Satnil Lallian |
Liked the Slides and lectures.
Liked efficiency issues; liked the A/H task on project. |
Hung |
Google pagerank. The search engine jargon
became easier to understand. Hope he can apply it one day. Material was too difficult to understand as
well as the project |
Ryan Wilson |
Loved
knowing about search stuff. |
Ryan Stephans |
LSI is cool since it provides a different
visualization of the documents compared to vector space. Naïve bayes was
good. Class close to research edge hence
interesting. On the negative side, the fact that not
everything was built on previous things—e.g. XML and Vector space-- caused
difficulties. |
Marc Chung |
Discussion of social factors and how
algorithms can be derived from it (e.g. A/H, Content based and collaborative
filtering.) Data Integration discussion was done a
somewhat higher level. Liked the “graduate-course-ish[r3]” feel of it. |
Anvith |
Data integration part; the idea that
quality of results is as important as completeness. Felt that homework problems involved too
many calculations. |
Fenil shah |
Retrieval techniques. Surprised at how
“hard” the google pagerank idea was. XML & databases was more interesting. Missing Xml project was disappointing. Overall interesting, even though tough. |
Hrishikesh |
Hated that it took away his sleep.. Liked the Database refresher—since that
helped him make up for lost sleep in the database classes. Liked the idea of
building retrieval techniques from vector space towards more complex ideas
like LSI. |
Tahany |
Liked the second half on data-integration. Hated working on the project. Hated LSI until she did nothing but LSI one
weekend; and then learned to live with it. Really hated the 1st question from 3rd homework [r5](collaborative and content-based filtering). |
Daisuke |
Real application of databases XML
discussed. No other course talks about it. Figured out
how XML is used on Internet(?) |
Sarbjot Cheira |
Liked Authorities / Hubs
part of the project. Felt that course aims should
have been restricted to IR alone--without bringing in data integration. |
Ravish Patel |
Pagerank, google application.
Algorithms. |
Dennis Session |
The average 17th
century man knew less information than what is printed in one day’s New York
Times. We are living in an era of unprecedented access to information, and
this course went to great lengths to discuss how such information can be
managed. |
Jaya Bansal |
IR was interesting. Did not follow/understand much in
the second half. The project was very hard. Sree (Grader-who-became-TA) was great
help |
[r1]Tell us when you get Yahoo to point to you..
[r2]sorry, this wasn’t meant to be search engines for dummies J
[r3]He also said S*#%ford-ish. BLECH.
[r4]You should always take notes—however fast things go! Staring at slides is a surefire way to not retain much unless you are much more disciplined than I.
[r5]Imagine remembering such specific things 20 years from now..