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Type of Talk

: AI

Speaker Name: Sugato Basu

Speaker Affiliation: SRI I

nternational

Date: Friday December 8 2006

Start Time: 11:

00 a.m.

Location: ACES 2.402

Host: Joydeep Ghosh

Tal

k Title: Machine Learning in Web 2.0: Analyzing Dynamic Content-driven Soc

ial Networks

Talk Abstract:
In the last decade machine learnin

g and data mining techniques have seen widespread successful application to
different Internet technologies including web search product recommendat

ion spam detection spelling correction and news clustering. However the
web is fast undergoing a paradigm shift moving from being a mechanism for
delivering static web-content in the existing Web 1.0 model to a platform

facilitating dynamic collaborative content creation in the
emerging Web

2.0 paradigm. This trend is reflected in the growing popularity of new soci

al web-services for example tagging (Flickr) compared to photo editing (O

foto) and blogging (Blogger) compared to homepage hosting (Geocities).

This talk will outline how this new emphasis on rapid creation and sh

aring of consumer-generated data (CGM) over large social networks has given
rise to dynamic content-driven social networks and a new set of challengi

ng machine learning problems in this context. Focusing on a project (iLink)
that the speaker is currently working on the talk will discuss research p

roblems like online learning of topic models over streaming text large-sca

le topic analysis over social networks and learning to route messages in a
social query model.

Speaker Bio:
Sugato Basu works on mach

ine learning data mining information retrieval statistical pattern recog

nition and optimization with applications to analysis of text data and soc

ial networks on the web. He did his PhD from UT Austin in 2005 and is now
a research scientist at the AI Center in SRI International. For more infor

mation: http://www.ai.sri.com/people/basu/.