NIPS ˙08 Workshop: Beyond Search - Computational Intelligence for the Web

NIPS ˙08 Workshop: Beyond Search - Computational Intelligence for the Web

14 Lectures · Dec 12, 2008

About

The WWW has reached the stage where it can be looked upon as a gigantic information copying and distribution mechanism. But when the problem of distributing and copying information is essentially solved, where do we go next? There are a number of values that can be derived from the mesh, that also have immediate relevancy for the ML community. Goal of the workshop is to link these areas, and encourage cross-boundary thinking and working.

Topics will be:

Machine learning and probabilistic modeling: Recommendation systems and knowledge extraction are two immediate applications, with research required for large scale inference, modeling languages, and efficient decision making.

Game theory and mechanism design: When a large number of contributors is involved, how can tasks and incentive structures be made such that the desired goal is achieved? Research is required for solving very large games, and for mechanism design under uncertainty.

Knowledge representation and reasoning: Large parts of the web are currently stored in an unstructured way, making linking and evaluating knowledge a complex problem. Open points are the difficulty of reasoning, the tradeoff between efficiency of reasoning and power of the representation, and reasoning under uncertainty.

Social networks and collective intelligence: How does information flow in the web? Who is reading what, who is in touch with whom? These networks need to be analyzed, modeled, and made amenable to reasoning. (

Privacy preserving learning: What can be learned, and how can be learned, whilst only revealing a minimal set of information, or information that does not make users individually identifiable?

More information about workshop - http://research.microsoft.com/osa/adCenter/beyond_search/

Related categories

Uploaded videos:

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05:14

Beyond Search - Computational Intelligence for the Web - Introduction

Anton Schwaighofer

Dec 20, 2008

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4154 Views

Introduction
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24:47

Collective Wisdom: Information Growth in Wikis and Blogs

Malik Magdon-Ismail

Dec 20, 2008

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4308 Views

Lecture
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22:37

Knowledge Representation and Reasoning - Discussion

Deepak Agarwal,

Doug Lenat,

Anton Schwaighofer,

A. C. Surendran

Dec 20, 2008

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5249 Views

Panel
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47:52

Scalable Collaborative Filtering Algorithms for Mining Social Networks

Edward Chang

Dec 20, 2008

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8168 Views

Lecture
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22:26

Social Networks - Discussion

Barry Smyth,

Sanmay Das,

Malik Magdon-Ismail,

Peter Briggs,

Edward Chang

Dec 20, 2008

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3875 Views

Panel
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18:35

Interactively Optimizing Information Systems as a Dueling Bandits Problem

Thorsten Joachims,

Yisong Yue

Dec 20, 2008

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4202 Views

Lecture
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59:05

Online Search and Advertising, Future and Present

Chris Burges

Dec 20, 2008

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5596 Views

Lecture
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59:32

Machine Learning for the Web: A Unified View

Pedro Domingos

Dec 20, 2008

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11726 Views

Lecture
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20:18

Search Query Disambiguation from Short Sessions

Raymond J. Mooney,

Lilyana Mihalkova

Dec 20, 2008

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4809 Views

Lecture
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33:55

Machine Learning - Discussion

Pedro Domingos,

Raymond J. Mooney,

Lilyana Mihalkova

Dec 20, 2008

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3898 Views

Panel
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30:10

Machine Learning, Market Design, and Advertising

Jason D. Hartline

Dec 20, 2008

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7061 Views

Lecture
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58:28

Internet Advertising and Optimal Auction Design

Michael Schwarz

Dec 20, 2008

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4129 Views

Lecture
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19:56

Learning optimally from self-interested data sources in on-line ad auctions

Onno Zoeter

Dec 20, 2008

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3843 Views

Lecture
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22:07

Discussion

Onno Zoeter,

Michael Schwarz,

Jason D. Hartline

Nov 03, 2009

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4857 Views

Debate