Community Systems | Yahoo! Research

The Community Systems group aims to develop the infrastructure to build, maintain, and analyze the next generation of online communities and software services. In particular, we envision that this will require information management on an unprecedented scale to support data-backed applications, and to support information discovery over web content that is intelligently interpreted, leveraging both algorithmic techniques and social interactions.

Recent Publications

PNUTS: Yahoo!’s Hosted Data Serving Platform Brian F. Cooper; Raghu Ramakrishnan; Utkarsh Srivastava; Adam Silberstein; Philip Bohannon; Hans-Arno Jacobsen; Nick Puz; Daniel Weaver; Ramana Yerneni, VLDB, 2008 [view abstract]
Efficient Bulk Insertion into a Distributed Ordered Table Adam Silberstein; Brian F. Cooper; Utkarsh Srivastava; Erik Vee; Ramana Yerneni; Raghu Ramakrishnan, SIGMOD Conference, 2008
Scheduling Shared Scans of Large Data Files P. Agrawal; D. Kifer; C. Olston, VLDB, 2008
Scalable Ranked Publish/Subscribe Ashwin Machanavajjhala; Erik Vee; Minos Garofalakis; Jayavel Shanmugasundaram, VLDB, 2008
WYSIWYG Development of Data Driven Web Applications Fan Yang; Nitin Gupta; Chavdar Botev; Elizabeth Churchill; George Levchenko; Jayavel Shanmugasundaram, VLDB, 2008
Efficient Top-K Processing over Query-Dependent Functions Lin Guo; Sihem Amer-Yahia; Raghu Ramakrishnan; Jayavel Shanmugasundaram; Utkarsh Srivastava; Erik Vee, VLDB, 2008
Efficient Computation of Diverse Query Results Erik Vee; Utkarsh Srivastava; Jayavel Shanmugasundaram; Prashanth Bhat; Sihem Amer-Yahia, ICDE, 2008
Regret Minimization in Games with Incomplete Information Zinkevich, M. ; Johanson, M. ; Bowling, M. ; Piccione, C., Neural Information Processing Systems, 2008
Computing Robust Counter-Strategies Johanson, M. ; Zinkevich, M. ; Bowling, M., Neural Information Processing Systems, 2008
A Hierarchy of Prescriptive Goals for Multiagent Learning Zinkevich, M. ; Greenwald, A. ; Littman, M., Artificial Intelligence, 2007
A New Algorithm for Generating Equilibria in Massive Zero-Sum Games Zinkevich, M. ; Bowling, M. ; Burch, N., Twenty-Second Conference on Artificial Intelligence (AAAI-07), 2007
Subgradient Methods for Structured Prediction Ratliff, N. ; Bagnell, D. ; Zinkevich, M., Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007
Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach Silberstein, A. ; Puggioni, G. ; Gelfand, A. ; Munagala, K. ; Yang, J., Proceedings of the 2007 Intl. Conf. on Very Large Data Bases, 2007
Many-to-Many Aggregation for Sensor Networks Silberstein, A. ; Yang, J., Proceedings of the 2007 Intl. Conf. on Data Engineering, 2007
Data-Driven Processing in Sensor Networks Silberstein, A. ; Braynard, R. ; Filpus, G. ; Puggioni, G. ; Gelfand, A. ; Munagala, K. ; Yang, J., Proceedings of the 2007 Conference on Innovative Data Systems Research, 2007
A Fault-Tolerant Middleware Architecture for High-Availability Storage Services Seshadri, Sangeetha ; Liu, Ling ; Cooper, Brian F. ; Chiu, Lawrence ; Gupta, Karan ; Muench, Paul, IEEE SCC, 2007
Optimizing Multiple Distributed Stream Queries Using Hierarchical Network Partitions Seshadri, Sangeetha ; Kumar, Vibhore ; Cooper, Brian F. ; Liu, Ling, IPDPS, 2007
21th International Parallel and Distributed Processing Symposium (IPDPS 2007), Proceedings, 26-30 March 2007, Long Beach, California, USA , IPDPS, IEEE, 2007
Personalizing XML Search in PIMENTO. Amer-Yahia, Sihem ; Fundulaki, Irini ; Lakshmanan, Laks V. S., ICDE, 2007
Challenges in Searching Online Communities. Amer-Yahia, Sihem ; Benedikt, Michael ; Bohannon, Philip, IEEE Data Eng. Bull., 2007

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Recent Publications