[bioundgrd] Fwd: Endeca campus visit, 9/12

Janice Chang jdchang at MIT.EDU
Fri Sep 7 09:44:43 EDT 2007


>From: "Robert Richard" <rrichard at MIT.EDU>
>Subject: Endeca campus visit, 9/12
>Date: Fri, 7 Sep 2007 08:31:43 -0400
>
>
>Excited by creative problem solving? Learn about the advances Endeca 
>is making in Human-Computer Information Retrieval at a Tech Talk 
>given by Chief Scientist Daniel Tunkelang '92 and co-sponsored by 
>SWE (Society of Women Engineers). Check out the abstract and event 
>details below!
>
>
>
>With over 20% of the Fortune 100 as our customers, Endeca is solving 
>the fundamental problem of how people find, analyze, and understand 
>information.
>
>http://www.endeca.com/campus
>
>
>
>Wed Sep 12
>
>6:30-8pm
>
>37-212
>
>Bertuccis pizza will be provided
>
>
>
>** Can't make it? We are also having an Info Session on Mon Sep 24 
>from 6:30-8pm in 4-270.
>
>
>
>Interested in learning more about Endeca?
>
>Contact Liz Arnold, Campus Recruiting Manager, larnold at endeca.com, 
>617-674-6314
>
>
>
>----------------
>
>
>
>Human-Computer Information Retrieval
>
>
>
>Abstract
>
>
>
>In 2005, Gary Marchionini delivered a lecture entitled "Toward 
>Human-Computer Information Retrieval," in which he put forth a 
>vision of "systems that involve people and machines continuously 
>learning and changing together." One of Marchionini's observations 
>was that "Systems should increase user responsibility as well as 
>control; that is, information systems require human intellectual 
>effort, and good effort is rewarded."
>
>
>
>Modern information access systems illustrate the power of HCIR: they 
>sidestep the usual IR tradeoff of precision vs. recall by 
>progressively soliciting more information from the user. 
>Fundamentally, these approaches focus not so much on ranking query 
>results as on digesting them, since the latter enables an effective 
>and efficient communication channel between the system and the user.
>
>
>
>At Endeca, we have embraced the vision of HCIR. In this talk, we 
>will discuss novel techniques we have developed in support of this 
>vision. We will also discuss the problem of evaluating HCIR systems, 
>since a robust evaluation framework is key to making progress in 
>their development.
>
>
>
>About the Speaker
>
>
>
>As Chief Scientist at Endeca, Daniel Tunkelang develops innovative 
>approaches to address the problems of information access. Endeca's 
>software helps over 400 organizations integrate, discover, and 
>navigate enterprise data to solve business problems associated with 
>information overload. Endeca's customers include a wide range of 
>enterprises, such as Bank of America, Boeing, Costco, Defense 
>Intelligence Agency, General Motors, Home Depot, Hyatt, IBM, Nike, 
>Time Warner, and Walmart. Daniel received his PhD in Computer 
>Science from CMU and completed his undergraduate studies in Computer 
>Science and Mathematics at MIT.
>
>
>
>
>
>- - - - - - - - - - - - - - - - - - - - - - - - - - -
>
>Liz Arnold
>Campus Recruiting Manager
>T 617.674.6314
>F 617.674.6001
>E <mailto:larnold at endeca.com>larnold at endeca.com
>
>Endeca
>101 Main Street
>Cambridge, MA 02142
><http://www.endeca.com/>www.endeca.com
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