The University of Texas at Austin

New UT Events Calendar to Launch in January 2014

Event submissions via Know Events has been retired effective December 20, 2013. University Communications is implementing a new events calendar in January 2014. The new site is located at calendar.utexas.edu.

To Submit An Event

Students Representing A Student Organization:
Please go to Hornslink to submit an event. Instructions on how to submit an event using Hornslink can be found on the Dean of Students website.

Other Students, Faculty, and Staff:
Please visit the new UT Events Calendar to submit an event. Instructions on how to submit an event to the new UT Events Calendar can be found on the University Communications website.

Events may still be submitted automatically to the new UT Events Calendar through a standards-compliant RSS or iCal feed. Please consult the UT Events Calendar Documentation for more information.

Current recipients of the Know Events email newsletter will continue to receive events listings once the transition has been made.

If you have questions or concerns regarding this transition, please contact Bryan Christian, Manager of User Experience, at bryan.christian@utexas.edu.

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March 11, 2011
Time:1-2 p.m.
Description:Bo Pang, research scientist at Yahoo! Research, discusses tail items on the Internet. In many ecosystems on the Web, the vast majority of the items are of interest to a relatively small number of people. Nonetheless, these tail items in aggregate account for a sizable portion of overall consumption. In this talk, Pang presents a user-centric perspective on the heavy tail phenomenon and discusses the overwhelming evidence that most Web users are a little bit eccentric, consuming niche products at least some of the time.


Pang has a Ph.D. in computer science from Cornell University. Her primary research interests are natural language processing, information retrieval and Web mining. Her past work includes sentiment analysis, paraphrasing, querylog analysis, bridging structured and unstructured data and computational advertising.
Location:UT Administration Building 1.208
URL:More about this event...
Contact:Matthew A Lease | 512-471-3821
Sponsor:UT Austin School of Information (iSchool)
Admission:Free
Parking:Guadalupe Garage or meter
Categories:Cockrell School Of Engineering, Everyone, Lecture/talk
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