With 30 accepted papers Yahoo! leads the program of full and short papers being presented at The 18th ACM Conference on Information and Knowledge Management on November 2-6, 2009 in Hong Kong.

Full Papers

• Fast Shortest Path Distance Estimation in Large Networks
  Michalis Potamias (Boston university), Francesco Bonchi (Yahoo! Research), Carlos Castillo (Yahoo! Research), Aristides Gionis (Yahoo! Research)
• Expected Reciprocal Rank for Graded Relevance
  Olivier Chapelle (Yahoo! Labs), Donald Metlzer (Yahoo! Labs), Ya Zhang (Yahoo! Labs), Pierre Grinspan (Google Inc)
• What Happens after an Ad Click? Quantifying the Impact of Landing Pages in Web Advertising
  Hila Becker (Columbia University), Andrei Broder (Yahoo! Research), Evgeniy Gabrilovich (Yahoo! Research), Vanja Josifovski (Yahoo! Research), Bo Pang (Yahoo! Research)
• Computational Community Interest for Ranking
  Xiaozhong Liu (School of Information Studies, Syracuse University), Vadim von Brzeski (Yahoo!)
• Classification-Based Resource Selection
  Jaime Arguello (Carnegie Mellon University), Jamie Callan (Carnegie Mellon University), Fernando Diaz (Yahoo!)
• On the Feasibility of Multi-Site Web Search Engines
  Ricardo Baeza-Yates (Yahoo! Research), Aristides Gionis (Yahoo! Research), Flavio Junqueira (Yahoo! Research), Vassilis Plachouras (Yahoo! Research), Luca Telloli (Yahoo! Research)
• Supervised Semantic Indexing
  Bing Bai (NEC Labs America, INC), Jason Weston (NEC Labs America, INC), David Grangier (NEC Labs America, INC), Ronan Collobert (NEC Labs America, INC), Kunihiko Sadamasa (NEC Labs America, INC), Yanjun Qi (NEC Labs America, INC), Olivier Chapelle (Yahoo! Research), Kilian Weinberger (Yahoo! Research)
• Clustering and Exploring Search Results using Timeline Constructions
  Omar Alonso (University of California, Davis), Michael Gertz (University of Heidelberg), Ricardo Baeza-Yates (Yahoo! Research)
• Helping Editors Choose Better Seed Sets for Entity Set Expansion
  Vishnu Vyas (Yahoo! Labs), Patrick Pantel (Yahoo! Labs), Eric Crestan (Yahoo! Labs)
• A Risk Minimization Framework for Domain Adaptation
  Bo Long (Yahoo! Labs), Sudarshan Lamkhede (Yahoo! Labs), Srinivas Vadrevu (Yahoo! Labs), Ya Zhang (Yahoo! Labs), Belle Tseng (Yahoo! Labs)
• Learning document aboutness from implicit user feedback and document structure
  Deepa Paranjpe (Yahoo! Labs)
• Improving Web Page Classification by Label-propagation over Click Graphs
  Soo-Min Kim (Yahoo! Labs), Patrick Pantel (Yahoo! Labs), Lei Duan (Yahoo! Labs), Scott Gaffney (Yahoo! Labs)
• Practical Lessons of Data Mining at Yahoo!
  Ye Chen (eBay Inc.), Dmitry Pavlov (Yandex Labs), Pavel Berkhin (eBay Inc.), Aparna Seetharaman (Yahoo! Inc.), Albert Meltzer (Yahoo! Inc.)
• Automatic Retrieval of Similar ContentUsing Search Engine Query Interface
  Ali Dasdan (Yahoo! Inc.), Paolo D'Alberto (Yahoo! Inc.), Santanu Kolay (Yahoo! Inc.), Chris Drome (Yahoo! Inc.)
• Compressing Tags to Find Interesting Media Groups
  Matthijs van Leeuwen (Universiteit Utrecht), Francesco Bonchi (Yahoo! Research), Borkur Sigurbjornsson (Yahoo! Research), Arno Siebes (Universiteit Utrecht)
• Voting in Social Networks
  Paolo Boldi (University degli Studi di Milano), Francesco Bonchi (Yahoo! Research Labs), Carlos Castillo (Yahoo! Research Labs), Sebastiano Vigna (University degli Studi di Milano)

Short Papers

• Web Search Result Summarization: Title Selection Algorithms and User Satisfaction
  Tapas Kanungo (Microsoft), Nadia Ghamrawi (Yahoo! Labs), Ki Y Kim (Yahoo!), Lawrence Wai (Yahoo!)
• Context Sensitive Synonym Discovery for Web Search Queries
  Xing Wei (Yahoo! Labs), Fuchun Peng (Yahoo! Labs), Huishin Tseng (Yahoo! Labs), Yumao Lu (Yahoo! Labs), Benoit Dumoulin (Yahoo! Labs)
• Multi-Task Learning for Learning to Rank in Web Search
  Jing Bai (Yahoo! Labs), Ke Zhou (Shanghai Jiao-Tong University), Guirong Xue (Shanghai Jiao-Tong University), Hongyuan Zha (Georgia Institute of Technology), Gordon Sun (Yahoo! Labs), Belle Tseng (Yahoo! Labs), Zhaohui Zheng (Yahoo! Labs), Yi Chang (Yahoo! Labs)
• On Domain Similarity and Effectiveness of Adapting-to-Rank
  Keke Chen (Wright State University), Jing Bai (Yahoo! Labs), Srihari Reddy (Yahoo! Labs), Belle Tseng (Yahoo! Labs)
• Identifying Comparable Entities on the Web
  Alpa Jain (Yahoo! Labs), Patrick Pantel (Yahoo! Labs)
• Translating Relevance Scores to Probabilities for Contextual Advertising
  Deepak Agarwal (Yahoo! Research), Evgeniy Gabrilovich (Yahoo! Research), Robert Hall (Carnegie Mellon University), Vanja Josifovski (Yahoo! Research)
• Smoothing DCG for Learning to Rank: A Novel Approach Using Smoothed Hinge Functions
  Mingrui Wu (Yahoo! Inc.), Yi Chang (Yahoo! Inc.), Zhaohui Zheng (Yahoo! Inc.), Hongyuan Zha (Georgia Institute of Technology)
• A Collaborative Filtering Approach to Ad Recommendation using the Query-Ad Click Graph
  Tasos Anastasakos (Yahoo! Inc), Dustin Hillard (Yahoo! Inc.), Sanjay Kshetramade (Yahoo! Inc.), Hema Raghavan (Yahoo! Inc)
• Aging Effects on Query Flow Graphs for Query Suggestion
  Ranieri Baraglia (ISTI-CNR), Carlos Castillo (Yahoo! Research), Debora Donato (Yahoo! Research), Franco Maria Nardini (ISTI-CNR), Raffaele Perego (ISTI-CNR), Fabrizio Silvestri (ISTI-CNR)
• URL Normalization for De-duplication of Web Pages
  Amit Agarwal (Yahoo! Labs), Hema Swetha Koppula (Yahoo! Labs), Krishna P. Leela (Yahoo! Labs), Krishna Prasad Chitrapura (Yahoo! Labs), Sachin Garg (Yahoo! Labs), Pavan Kumar GM (Yahoo! Labs), Chittaranjan Haty (Yahoo! Inc.), Anirban Roy (Yahoo! Inc.), Amit Sasturkar (Yahoo! Inc.)
• Location Cache for Web Queries
  Mauricio Marin (Yahoo! Research Latin America), Flavio Ferrarotti (Yahoo! Research Latin America), Marcelo Mendoza (Yahoo! Research Latin America), Carlos Gomez-Pantoja (Yahoo! Research Latin America), Veronica Gil-Costa (Yahoo! Research Latin America)
• Incorporating Robustness into Web Ranking Evaluation
  Xin Li (Yahoo! Labs), Fan Li (Yahoo! Labs), Shihao Ji (Yahoo! Labs), Zhaohui Zheng (Yahoo! Labs), Yi Chang (Yahoo! Labs), Anlei Dong (Yahoo! Labs)
• Active Learning in Partially Supervised Classification
  Priyanka Garg (Yahoo! Labs), S. Sundararajan (Yahoo! Labs)
• Stochastic Gradient Boosted Distributed Decision Trees
  Jerry Ye (Yahoo! Labs), Jyh-Herng Chow (Yahoo! Labs), Jiang Chen (Yahoo! Labs), Zhaohui Zheng (Yahoo! Labs)