IEEE NNC's PASS Search Engine

Dwi Hendratmo Widyantoro (dhw7942@unix.tamu.edu)
Sat, 4 Dec 1999 07:07:08 +0100 (MET)

Dear All,

We are glad to announce our alpha release of the IEEE Neural Networks
Council's Personalized Abstract Search Service (PASS) search engine. The
Web site of this service is at

http://nnc.cs.tamu.edu

PASS search engine is an effort initiated by the IEEE NNC Publication
Committee for providing NNC Web-based Information Services. PASS contains
abstracts collection from IEEE Transactions on Fuzzy Systems, IEEE
Transactions on Neural Networks, IEEE Transactions on Evolutionary
Computing and IEEE Transactions on Systems, Man and Cybernetics Part B. A
total of 325 abstracts is currently maintained from those transactions and
we continue adding more abstracts in effort to make the PASS fully useful
for information sources. For more information about PASS, please visit the
URL address http://nnc.cs.tamu.edu/faq.html?#4

Different from other typical search engines, PASS is a domain specific
search engine that allows it to provide a more direct query refinement
based on knowledge about the domains and the collection it contains. For
example, PASS provides the user a list of query refinement based on
"related query phrase", "broader terms" and "narrower terms". In
addition, it allows the user to create his/her personal folder for
storing papers of his/her interests. Therefore, the user can view papers
collected in the past from his/her personal folder at any time without
the need to repeat the search. To allow this service possible, PASS
requires that the user register and provide at least a 'user ID' and
'password'. It is a FREE registration and the registration process can
be done online by visiting http://nnc.cs.tamu.edu/bin/alphaRegister.pl

In addition, PASS can help the user doing research and writing a paper by
preparing an abstract or reference list from a list of papers of his/her
choices using a user's pre-defined format. A "shopping cart" like facility
is provided to support this service.

In the next release, PASS will recommend papers that might be of interests
to the user based on the user's interests and other users with similar
interests (this technique is called "collaborative filtering" in the
literature). However, this service is not available yet in the alpha
release. The purpose of the current release is to gather
preliminary feedback about the current system.

All in all, we encourege you to try the PASS search engine. We will
try our best to make the PASS useful for its users. Your active
participation will be critical to the sucess of this NNC service.
Please feel free to send us your comments, suggestions, and feedback
from the Website (clicking on the "PASS team" at the bottom of
the Web page).

Regards,

John Yen with the PASS Team under IEEE NNC Publication Committee

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