Yahoo Leads CIKM Program with 30 Accepted Papers

NEWS
Oct 8, 2009

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)