Hema Raghavan

According to our database, Hema Raghavan authored at least 24 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Graph Learning for your Enterprise.

Hema Raghavan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Fairness of Information Flow in Social Networks.

Zeinab S. Jalali, Qilan Chen, Shwetha Koushik Manchinahalli Srikanta, Weixiang Wang, Myunghwan Kim, Hema Raghavan, Sucheta Soundarajan

ACM Trans. Knowl. Discov. Data, July, 2023

2020

On the Information Unfairness of Social Networks.

Zeinab S. Jalali, Weixiang Wang, Myunghwan Kim, Hema Raghavan, Sucheta Soundarajan

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019

SWeG: Lossless and Lossy Summarization of Web-Scale Graphs.

Kijung Shin, Amol Ghoting, Myunghwan Kim, Hema Raghavan

Proceedings of the World Wide Web Conference, 2019

2018

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, 2018

Building Near Realtime Contextual Recommendations for Active Communities on LinkedIn.

Hema Raghavan

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2014

Joint question clustering and relevance prediction for open domain non-factoid question answering.

Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan

Proceedings of the 23rd International World Wide Web Conference, 2014

Query-Focused Opinion Summarization for User-Generated Content.

Lu Wang, Hema Raghavan, Claire Cardie, Vittorio Castelli

Proceedings of the COLING 2014, 2014

2013

Finding What Matters in Questions.

Xiaoqiang Luo, Hema Raghavan, Vittorio Castelli, Sameer Maskey, Radu Florian

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization.

Lu Wang, Hema Raghavan, Vittorio Castelli, Radu Florian, Claire Cardie

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Distilling and exploring nuggets from a corpus.

Vittorio Castelli, Hema Raghavan, Radu Florian, Ding-Jung Han, Xiaoqiang Luo, Salim Roukos

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Learning to rank for robust question answering.

Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

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

Inf. Retr., 2011

2010

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, 2010

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, 2010

2009

Discovering users' specific geo intention in web search.

Xing Yi, Hema Raghavan, Chris Leggetter

Proceedings of the 18th International Conference on World Wide Web, 2009

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, 2009

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, 2009

2007

An interactive algorithm for asking and incorporating feature feedback into support vector machines.

Hema Raghavan, James Allan

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Interactive Clustering of Text Collections According to a User-Specified Criterion.

Ron Bekkerman, Hema Raghavan, James Allan, Koji Eguchi

Proceedings of the IJCAI 2007, 2007

2006

Active Learning with Feedback on Features and Instances.

Hema Raghavan, Omid Madani, Rosie Jones

J. Mach. Learn. Res., 2006

2005

Matching Inconsistently Spelled Names in Automatic Speech Recognizer Output for Information Retrieval.

Hema Raghavan, James Allan

Proceedings of the HLT/EMNLP 2005, 2005

InterActive Feature Selection.

Hema Raghavan, Omid Madani, Rosie Jones

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2002

Using part-of-speech patterns to reduce query ambiguity.

James Allan, Hema Raghavan

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002