[219] in Information Retrieval

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LATE NOTICE: INFO BROKERING IN E-MARKETS CCS seminar wed 2feb94

daemon@ATHENA.MIT.EDU (Tim McGovern)
Wed Feb 2 13:14:34 1994

Date: Wed, 02 Feb 94 12:11:42 EST
From: tjm@MIT.EDU (Tim McGovern)
To: elibdev@MIT.EDU


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From: mlc@MIT.EDU (Mark Curby)
To: dcns-dev@MIT.EDU, ij@MIT.EDU
Subject: INFO BROKERING IN E-MARKETS CCS seminar wed 2feb94


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From: ira@medg.lcs.mit.edu (Ira Haimowitz)
Date: Tue, 1 Feb 94 14:24:45 EST
To: ai-seminar@ai.mit.edu
Subject:  CCS seminar Resnick@medialab, Wednesday


>Date: Mon, 31 Jan 94 15:20:47 EST
>From: presnick@eagle.mit.edu (Paul Resnick)
>To: ccs-lunch@guilder.mit.edu
>Subject: Resnick seminar at Media Lab Wednesday
>
>All are invited.
>
>                     WEDNESDAY, 2 February 1994
>                           4:30 - 6:00 PM
>                               E15-054
>
>             INFORMATION BROKERING IN ELECTRONIC MARKETS
>
>                             Paul Resnick
>                    MIT Sloan School of Management
>
>
>To help people cope with information overload, filters can
>automatically select a small set of messages from a large stream. The
>concept of brokering generalizes the notion of information filtering
>in several useful ways. First, it emphasizes that the routing of
>information messages is a joint activity of the sender and the
>receiver. Second, it suggests that the computational entity that
>performs filtering operations may be a third party rather than an
>appendage of either the sender or receiver. Finally, it conjures a
>host of images about services that the broker could provide.
>
>Collaborative filtering is an especially interesting brokering service
>that is just beginning to receive researchers' attention. While
>traditional methods such as keyword matching filter messages based on
>their contents, collaborative methods filter messages based on the
>opinions of other people who have already read them. For example, one
>appealing collaborative filter selects messages endorsed by people who
>agreed with my evaluations of previous messages. I will present
>GoodNews, a distributed software system for collaborative filtering of
>Netnews. I will also discuss briefly how to compensate people for
>providing evaluations.
>
>- -----
>
>Paul Resnick received a Ph.D. in Computer Science from MIT in 1992.
>His master's thesis research was on explanation-based machine
>learning. His dissertation research was on user interfaces and
>software tools for telephone bulletin boards. Since September 1992 he
>has been a Visiting Assistant Professor of Information Technologies at
>MIT's Sloan School of Management and has been affiliated with the MIT
>Center for Coordination Science.
>
>
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