WSDM 2010 - Third ACM International Conference on Web Search and Data Mining; Day 3 of 4
About the Conference
WSDM (pronounced "wisdom") is a young ACM conference intended to be the publication venue for research in the areas of search and data mining. Indeed, the pace of innovation in these areas prevents proper coverage by conferences of broader scope. The high attendance at the first two WSDMs, held at Stanford University and Barcelona in February 2008 and 2009, has confirmed community interest in a more focused venue.
WSDM publishes original, high quality submissions related to search and data mining on the Web, with an emphasis on practical but principled novel models of search and retrieval, algorithm design and analysis, economics implications, and in-depth experimental analysis of accuracy and performance.
Day 3 Schedule
8:00 - 8:45 a.m
8:45 - 10:00 a.m.
Announcements and Second Keynote: Susan Athey, Professor of Economics, Harvard
University, and Chief Economist, Microsoft
10:00 - 10:30 a.m.
10:30 a.m. - 12:10 p.m.
Session 1: Learning and Optimization
- Ranking with Query-Dependent Loss for Web Search
- Jiang Bian, Tie-Yan Liu, Tao Qin and Hongyuan Zha
- IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
- Taesup Moon, Alex Smola, Yi Chang and Zhaohui Zheng
- An Optimization Framework for Query Recommendation
- Aris Anagnostopoulos, Luca Becchetti, Carlos Castillo and Aristides Gionis
- Improving Quality of Training Data for Learning to Rank Using Click-Through Data
- Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li and Elbio Renato Torres Abib
- A Model to Estimate Intrinsic Document Relevance from the Clickthrough Logs of a Web Search Engine
- Georges Dupret and Ciya Liao.
12:10 - 1:30 p.m.
1:30 - 3:10 p.m.
Session 2: Users and Measurement
- Large Scale Query Log Analysis of Re-Finding
- Sarah K. Tyler and Jaime Teevan
- Anatomy of the Long Tail: Ordinary People with Extraordinary Tastes
- Sharad Goel, Andrei Broder, Evgeniy Gabrilovich and Bo Pang
- Inferring Search Behaviors Using Partially Observable Markov (POM) Model
- Kuansan Wang, Nikolas Gloy and Xiaolong Li
- Beyond DCG: User Behaviour as a Predictor of a Successful Search
- Ahmed Hassan, Rosie Jones and Kristina Lisa Klinkner
- Measuring the Reusability of Test Collections
- Ben Carterette, Evgeniy Gabrilovich, Vanja Josifovski and Donald Metzler
3:10 - 3:40 p.m.
3:40 - 5:20 p.m.
Session 3: Social
- Learning Influence Probabilities in Social Networks
- Amit Goyal, Francesco Bonchi and Laks V. S. Lakshmanan
- You Are Who You Know: Inferring User Profiles in Online Social Networks
- Alan Mislove, Bimal Viswanath, Krishna P. Gummadi and Peter Druschel
- TwitterRank: Finding Topic-sensitive Influential Twitterers
- Jianshu Weng, Ee-peng Lim, Jing Jiang and Qi He
- Folks in Folksonomies: Social Link Prediction from Shared Metadata
- Rossano Schifanella, Alain Barrat, Ciro Cattuto, Benjamin Markines and Filippo Menczer
- GeoFolk: Latent Spatial Semantics in Web 2.0 Social Media
- Sergej Sizov