Hema Raghavan


2019

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SWeG: Lossless and Lossy Summarization of Web-Scale Graphs
Kijung Shin | Amol Ghoting | Myunghwan Kim | Hema Raghavan
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2018

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Discovering Progression Stages in Trillion-Scale Behavior Logs
Kijung Shin | Mahdi Shafiei | Myunghwan Kim | Aastha Jain | Hema Raghavan
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018

2014

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Joint question clustering and relevance prediction for open domain non-factoid question answering
Snigdha Chaturvedi | Vittorio Castelli | Radu Florian | Ramesh Nallapati | Hema Raghavan
23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014

2012

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Distilling and exploring nuggets from a corpus
Vittorio Castelli | Hema Raghavan | Radu Florian | Ding-Jung Han | Xiaoqiang Luo | Salim Roukos
The 35th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '12, Portland, OR, USA, August 12-16, 2012

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Learning to rank for robust question answering
Arvind Agarwal | Hema Raghavan | Karthik Subbian | Prem Melville | Richard D. Lawrence | David Gondek | James Fan
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

2011

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The sum of its parts: reducing sparsity in click estimation with query segments
Dustin Hillard | Eren Manavoglu | Hema Raghavan | Chris Leggetter | Erick Cantú-Paz | Rukmini Iyer
2011 Volume 14 Issue 3

2010

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Improving ad relevance in sponsored search
Dustin Hillard | Stefan Schroedl | Eren Manavoglu | Hema Raghavan | Chris Leggetter
Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010

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Probabilistic first pass retrieval for search advertising: from theory to practice
Hema Raghavan | Rukmini Iyer
Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010

2009

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A relevance model based filter for improving ad quality
Hema Raghavan | Dustin Hillard
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009, Boston, MA, USA, July 19-23, 2009

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A collaborative filtering approach to ad recommendation using the query-ad click graph
Tasos Anastasakos | Dustin Hillard | Sanjay Kshetramade | Hema Raghavan
Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009

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Discovering users' specific geo intention in web search
Xing Yi | Hema Raghavan | Chris Leggetter
Proceedings of the 18th International Conference on World Wide Web, WWW 2009, Madrid, Spain, April 20-24, 2009

2007

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An interactive algorithm for asking and incorporating feature feedback into support vector machines
Hema Raghavan | James Allan
SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Amsterdam, The Netherlands, July 23-27, 2007

2002

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Using part-of-speech patterns to reduce query ambiguity
James Allan | Hema Raghavan
SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 11-15, 2002, Tampere, Finland