Time 

Event 

8:00 A.M.–

8:30 A.M.  

Breakfast 

8:30 A.M.–
9:00 A.M.

Query Intent Detection in Sponsored Search
Ram Akella

University of California Santa Cruz, United States

9:00 A.M.–
9:30 A.M. 

What Makes them Click: Empirical Analysis of Consumer Demand for Search Advertising 
Przemek Jeziorski and Ilya Segal

Stanford University, United States

9:30 A.M.– 10:00 A.M. 

Scalable Annotation Search and Aggregation of Semi-structured Graph and Text Data Models
Ganesh Ramakrishnan, Soumen Chakrabarti, and S. Sudarshan
Indian Institute of Technology Bombay, India

10:00 A.M.– 10:30 A.M.

The Complex Dynamics of Sponsored Search Markets

Sander Bohte, Valentin Robu, and Han La Poutre

The Centre for Math and Computer Science, The Netherlands

10:30 A.M.– 11:00 A.M.

Break

11:00 A.M.– 11:30 A.M.  

Modeling Trust Influence and Bias in Social Media
Anupam Joshi and Tim Finin
University of Maryland, Baltimore County, United States

11:30 A.M.– Noon

Noon–
12:30 P.M. 

1:30 P.M.–

2:00 P.M. 

Web-Scale Semantic Social Mash-Ups with Provenance
Harry Halpin and Henry Thompson
University of Edinburgh, United Kingdom

2:00 P.M.–

2:30 P.M. 

Search Logs as Information Footprints: Turning Search Logs into a Multi-Resolution Topic Map to Support Collaborative Surfing
ChengXiang Zhai, Xuanhui Wang, and Kevin Chang
University of Illinois at Urbana-Champaign, United States

2:30 P.M.–

3:00 P.M.

Utilizing Query Semantics from Past Query Sequences to Support Exploratory Search

Mingfang Wu, Andrew Turpin, Simon Puglisi, Falk Scholer, and James Thom

RMIT University, Melbourne, Australia

3:00 P.M.–

3:30 P.M.  

3:30 P.M.–

4:00 P.M. 

Addressing and Identifying Privacy Leakage from Query Logs: An Accountability Approach
Oshani Seneviratne, Daniel Weitzner, and Lalana Kagal
Massachusetts Institute of Technology, United States 

4:00 P.M.–

4:30 P.M. 

4:30 P.M.–

5:00 P.M. 

Evolving Today's Web into the Knowledge Web

AC Surendran, Tarek Najm, and Phani Vaddadi

Microsoft

5:00 P.M.–

5:15 P.M. 

Wrap Up

Evelyne Viegas
Microsoft Research