Hema Raghavan

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 8

Top Topics

Information Flow

Social Networks

Manifold Ranking

Opinion Summarization

Top Venues

Publications

Hema Raghavan
Scalable Graph Learning for your Enterprise. KDD (2024)
Zeinab S. Jalali, Qilan Chen, Shwetha M. Srikanta, Weixiang Wang, Myunghwan Kim, Hema Raghavan, Sucheta Soundarajan
Fairness of Information Flow in Social Networks. ACM Trans. Knowl. Discov. Data 17 (6) (2023)
Zeinab S. Jalali, Weixiang Wang, Myunghwan Kim, Hema Raghavan, Sucheta Soundarajan
On the Information Unfairness of Social Networks. SDM (2020)
Kijung Shin, Amol Ghoting, Myunghwan Kim, Hema Raghavan
SWeG: Lossless and Lossy Summarization of Web-Scale Graphs. WWW (2019)
Kijung Shin, Mahdi Shafiei, Myunghwan Kim, Aastha Jain, Hema Raghavan
Discovering Progression Stages in Trillion-Scale Behavior Logs. WWW (2018)
Hema Raghavan
Building Near Realtime Contextual Recommendations for Active Communities on LinkedIn. KDD (2018)
Lu Wang, Hema Raghavan, Vittorio Castelli, Radu Florian, Claire Cardie
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization. CoRR (2016)
Lu Wang, Hema Raghavan, Claire Cardie, Vittorio Castelli
Query-Focused Opinion Summarization for User-Generated Content. CoRR (2016)
Lu Wang, Hema Raghavan, Claire Cardie, Vittorio Castelli
Query-Focused Opinion Summarization for User-Generated Content. COLING (2014)
Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan
Joint question clustering and relevance prediction for open domain non-factoid question answering. WWW (2014)
Xiaoqiang Luo, Hema Raghavan, Vittorio Castelli, Sameer Maskey, Radu Florian
Finding What Matters in Questions. HLT-NAACL (2013)
Lu Wang, Hema Raghavan, Vittorio Castelli, Radu Florian, Claire Cardie
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization. ACL (1) (2013)
Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan
Learning to rank for robust question answering. CIKM (2012)
Vittorio Castelli, Hema Raghavan, Radu Florian, Ding-Jung Han, Xiaoqiang Luo, Salim Roukos
Distilling and exploring nuggets from a corpus. SIGIR (2012)
Dustin Hillard, Eren Manavoglu, Hema Raghavan, Chris Leggetter, Erick Cantú-Paz, Rukmini Iyer
The sum of its parts: reducing sparsity in click estimation with query segments. Inf. Retr. 14 (3) (2011)
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, Hema Raghavan, Chris Leggetter
Improving ad relevance in sponsored search. WSDM (2010)
Hema Raghavan, Rukmini Iyer
Probabilistic first pass retrieval for search advertising: from theory to practice. CIKM (2010)
Tasos Anastasakos, Dustin Hillard, Sanjay Kshetramade, Hema Raghavan
A collaborative filtering approach to ad recommendation using the query-ad click graph. CIKM (2009)
Xing Yi, Hema Raghavan, Chris Leggetter
Discovering users' specific geo intention in web search. WWW (2009)
Hema Raghavan, Dustin Hillard
A relevance model based filter for improving ad quality. SIGIR (2009)
Ron Bekkerman, Hema Raghavan, James Allan, Koji Eguchi
Interactive Clustering of Text Collections According to a User-Specified Criterion. IJCAI (2007)
Hema Raghavan, James Allan
An interactive algorithm for asking and incorporating feature feedback into support vector machines. SIGIR (2007)
Hema Raghavan, Omid Madani, Rosie Jones
Active Learning with Feedback on Features and Instances. J. Mach. Learn. Res. 7 (2006)
Hema Raghavan, James Allan
Matching Inconsistently Spelled Names in Automatic Speech Recognizer Output for Information Retrieval. HLT/EMNLP (2005)
Hema Raghavan, Omid Madani, Rosie Jones
InterActive Feature Selection. IJCAI (2005)
James Allan, Hema Raghavan
Using part-of-speech patterns to reduce query ambiguity. SIGIR (2002)