NIPS 2007 Workshop
Machine Learning for Web Search

 

 

 

Description

Schedule

Submissions

Organizers



NIPS Workshops

NIPS

 

December 7, 2007. The Westin Resort & Spa and The Hilton Whistler Resort & Spa, Whistler, Canada

 

Morning Session: 7:30am -- 10:30pm

7:30am Opening Remarks

7:35am What's New in Web Search?

Sam Roweis (Google Research)

8:20am Large Margin Optimization of Ranking Measures

Olivier Chapelle (Yahoo! Research), Quoc Le (NICTA) &

Alex Smola (NICTA)

8:40am SoftRank with Gaussian Processes

Edward Snelson (Microsoft Research) & John Guiver (Microsoft Research)

9:00am Coffee Break & Poster Viewing

9:30 am  On Using Simultaneous Perturbation Stochastic Approximation for IR Measures, and the Empirical Optimality of LambdaRank

Yisong Yue (Cornell University) & Christopher J. C. Burges (Microsoft Research)

9:50 am Learning to Admit You're Wrong: Statistical Tools
for Evaluating Web QA

Mark Dredze (University of Pennsylvania) & Krzysztof Czuba (Google)

10:10am Manipulation-Resistant Reputations Using Hitting Time

John Hopcroft (Cornell University) & Daniel Sheldon (Cornell University)

10:30am Poster Viewing & Discussion

 

Afternoon Session: 4:00pm -- 6:30pm

4:00pm Computational Advertising

Andrei Broder (Yahoo!  Research)

4:45pm Lightly-Supervised Attribute Extraction for Web Search

Kedar Bellare (University of Massachusetts), Partha Pratim Talukd (University of Pennsylvania), Giridhar Kumaran(University of Massachusetts), FernandoPereira(University of Pennsylvania),  Mark Liberman(University of Pennsylvania), Andrew McCallum (University of Massachusetts) & Mark Dredze(University of Pennsylvania)

5:05 pm Coffee Break

5:30pm Privacy, Personalization, and the Web: A Utility-Theoretic Approach

Andreas Krause (Carnegie Mellon University) & Eric Horvitz (Microsoft Research)

5:50pm A Decision Theoretic Framework for Implicit Relevance Feedback

Onno Zoeter (Microsoft Research), Nick Craswell (Microsoft Research), Michael Taylor (Microsoft Research), Ed Snelson (Microsoft Research) & John Guiver (Microsoft Research) 

6:10pm Closing Remarks

 

Posters

Learning Diverse Rankings with Multi-Armed Bandits

Robert Kleinberg (Cornell University), Filip Radlinski (Cornell University), and Thorsten Joachims (Cornell University)

Semantic Search Guidance: Learn From History

M. Barouni-Ebrahimi (University of New Brunswick), Reza Zafarani (University of New Brunswick), Ebrahim Bagheri, and Ali A. Ghorbani (University of New Brunswick)