Using part-of-speech patterns to reduce query ambiguity. - James Allan; Hema Raghavan (SIGIR, 2002)

InterActive Feature Selection. - Hema Raghavan; Omid Madani; Rosie Jones (IJCAI, 2005)

Matching Inconsistently Spelled Names in Automatic Speech Recognizer Output for Information Retrieval. - Hema Raghavan; James Allan (HLT/EMNLP, 2005)

Active Learning with Feedback on Features and Instances. - Hema Raghavan; Omid Madani; Rosie Jones (J. Mach. Learn. Res., 2006)

Interactive Clustering of Text Collections According to a User-Specified Criterion. - Ron Bekkerman; Hema Raghavan; James Allan; Koji Eguchi (IJCAI, 2007)

An interactive algorithm for asking and incorporating feature feedback into support vector machines. - Hema Raghavan; James Allan (SIGIR, 2007)

A collaborative filtering approach to ad recommendation using the query-ad click graph. - Tasos Anastasakos; Dustin Hillard; Sanjay Kshetramade; Hema Raghavan (CIKM, 2009)

A relevance model based filter for improving ad quality. - Hema Raghavan; Dustin Hillard (SIGIR, 2009)

Discovering users' specific geo intention in web search. - Xing Yi; Hema Raghavan; Chris Leggetter (WWW, 2009)

Probabilistic first pass retrieval for search advertising: from theory to practice. - Hema Raghavan; Rukmini Iyer (CIKM, 2010)

Improving ad relevance in sponsored search. - Dustin Hillard; Stefan Schroedl; Eren Manavoglu; Hema Raghavan; Chris Leggetter (WSDM, 2010)

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)

Learning to rank for robust question answering. - Arvind Agarwal; Hema Raghavan; Karthik Subbian; Prem Melville; Richard D. Lawrence; David Gondek; James Fan (CIKM, 2012)

Distilling and exploring nuggets from a corpus. - Vittorio Castelli; Hema Raghavan; Radu Florian; Ding-Jung Han; Xiaoqiang Luo; Salim Roukos (SIGIR, 2012)

A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization. - Lu Wang 008; Hema Raghavan; Vittorio Castelli; Radu Florian; Claire Cardie (ACL (1), 2013)

Finding What Matters in Questions. - Xiaoqiang Luo; Hema Raghavan; Vittorio Castelli; Sameer Maskey; Radu Florian (HLT-NAACL, 2013)

Query-Focused Opinion Summarization for User-Generated Content. - Lu Wang 008; Hema Raghavan; Claire Cardie; Vittorio Castelli (COLING, 2014)

Joint question clustering and relevance prediction for open domain non-factoid question answering. - Snigdha Chaturvedi; Vittorio Castelli; Radu Florian; Ramesh Nallapati; Hema Raghavan (WWW, 2014)

Building Near Realtime Contextual Recommendations for Active Communities on LinkedIn. - Hema Raghavan (KDD, 2018)

Discovering Progression Stages in Trillion-Scale Behavior Logs. - Kijung Shin; Mahdi Shafiei; Myunghwan Kim 002; Aastha Jain; Hema Raghavan (WWW, 2018)

SWeG: Lossless and Lossy Summarization of Web-Scale Graphs. - Kijung Shin; Amol Ghoting; Myunghwan Kim 002; Hema Raghavan (WWW, 2019)

On the Information Unfairness of Social Networks. - Zeinab S. Jalali; Weixiang Wang; Myunghwan Kim 002; Hema Raghavan; Sucheta Soundarajan (SDM, 2020)

Fairness of Information Flow in Social Networks. - Zeinab S. Jalali; Qilan Chen; Shwetha Koushik Manchinahalli Srikanta; Weixiang Wang; Myunghwan Kim 002; Hema Raghavan; Sucheta Soundarajan (ACM Trans. Knowl. Discov. Data, 2023)

Scalable Graph Learning for your Enterprise. - Hema Raghavan (KDD, 2024)