Emersonbot: Information-Focused Conversational AI Emory University at the Alexa Prize 2017 Challenge
Zihao Wang, Ali Ahmadvand, Jason Ingyu Choi, Payam Karisani, Eugene Agichtein
AWS re:Invent 2017, 2017 | paper |
CRQA: Crowd-powered Real-time Automated Question Answering System
Denis Savenkov, Eugene Agichtein
HCOMP, 2016 | paper |
When a Knowledge Base is not Enough: Question Answering over Knowledge Bases with External Text Data
Denis Savenkov, Eugene Agichtein
SIGIR, 2016 | paper |
Crowdsourcing for (almost) Real-time Question Answering
Denis Savenkov, Scott Weitzner, Eugene Agichtein
Human-Computer Question Answering workshop at NAACL 2016, 2016 | paper slides |
Ranking Answers and Web Passages for Non-factoid Question Answering: Emory IR Lab @ TREC 2015 LiveQA
Denis Savenkov
Text REtrieval Conference (TREC), 2015 | paper slides |
Relation Extraction from Community Generated Question-Answer Pairs
Denis Savenkov, Wei-Lwun Lu, Jeff Dalfon, Eugene Agichtein
NAACL (Student Research Workshop), 2015 | paper |
To Hint or Not: Exploring the Effectiveness of Search Hints for Complex Informational Tasks
D. Savenkov, E. Agichtein
SIGIR, 2014 | paper |
Trust, but Verify: Predicting Contribution Quality for Knowledge Base Construction and Curation
Chun How Tan, Eugene Agichtein, Panos Ipeirotis, Evgeniy Gabrilovich
ACM International Conference on Web Search and Data Mining (WSDM), 2014 | paper website |
Discovering Common Motifs in Cursor Movement Data for Improving Web Search Ranking
D. Lagun, Q. Guo, M. Ageev, and E. Agichtein
WSDM, 2014 | paper |
Mining Touch Interaction Data on Mobile Devices to Predict Web Search Result Relevance
Qi Guo, Haojian Jin, Dmitry Lagun, Shuai Yuan, Eugene Agichtein
SIGIR, 2013 | paper |
Characterizing and supporting cross-device search tasks
Yu Wang, Xiao Huang, Ryen W. White
WSDM, 2013 | |
Leveraging Geographical Metadata to Improve Search over Social Media
A. Kotov, Y. Wang, E. Agichtein
WWW, 2013 | paper |
The Importance of Being Socially-Savvy: Quantifying the Influence of Social Networks on Microblog Retrieval
A. Kotov, E. Agichtein
CIKM, 2013 | paper |
Towards Estimating Web Search Result Relevance from Touch Interactions on Mobile Devices
Q. Guo, H. Jin, D. Lagun, S. Yuan, and E. Agichtein
CHI, 2013 | |
Improving Search Result Summaries By Using Searcher Behavior Data
M. Ageev, D. Lagun, and E. Agichtein
SIGIR, 2013 | |
Explicit Feedback in Local Search Tasks
D. Lagun, A. Sud, R. White, P. Bailey, and G. Buscher
SIGIR, 2013 | |
Predicting Cognitive Decline from Eye Movement Shapelets
D. Lagun, C. Manzanares, E. Buffalo, S. Zola, and E. Agichtein
ICML Workshop on Role of Machine Learning in Transforming Healthcare, 2013 | |
Understanding Web Search Interactions with Dynamic Results Generated using Implicit Feedback
J. Kim, M. Cramer, J. Teevan and D. Lagun
CIKM, 2013 | |
The Answer is at your Fingertips: Improving Passage Retrieval for Web Question Answering with Search Behavior Data
M. Ageev, D. Lagun, and E. Agichtein
EMNLP, 2013 | |
Detecting Search Engine Switching Based on User Preferences, Search Tasks, and Behavior Patterns
D.Savenkov, D.Lagun and Q. Liu
WSDM workshop on Web Search Click Data, 2013 | paper slides |
Touch Screens for Touchy Issues: Analysis of Accessing Sensitive Information from Mobile Devices
D.Pelleg, D.Savenkov and E. Agichtein
ICWSM (International Conference on Weblogs and Social Media), 2013 | paper |
Search Engine Switching Detection Based on User Personal Preferences and Behavior Patterns
D. Savenkov, D. Lagun, Q. Liu
SIGIR, 2013 | paper slides |
TM-LDA: efficient online modeling of latent topic transitions in social media
Yu Wang, Eugene Agichtein, Michele Benzi
KDD, 2012 | |
Beyond Dwell Time: Estimating Document Relevance from Cursor Movements and other Post-click Searcher Behavior
Q. Guo and E. Agichtein
WWW, 2012 | paper |
When Web Search Fails, Searchers Become Askers: Understanding the Transition
Qiaoling Liu, Eugene Agichtein, Gideon Dror, Yoelle Maarek, Idan Szpektor
SIGIR, 2012 | paper |
Re-Examining Search Result Snippet Examination Time for Relevance Estimation
D. Lagun and E. Agichtein
SIGIR, 2012 | paper |
Developing and Validating Automated Web-Based Behavioral Diagnostics for Early Detection of Alzheimer’s Disease
E. Agichtein, E. Buffalo, D. Lagun, A. Levey, C. Manzanares, J. Shin, S. Zola
Medicine-X, 2012 | |
Predicting Web Search Success with Fine-grained Interaction Data
Q. Guo, D. Lagun, and E. Agichtein
CIKM, 2012 | |
Improving Relevance Prediction by Addressing Biases and Sparsity in Web Search Click Data
Q. Guo, D. Lagun, D. Savenkov, and Q. Liu
WSDM workshop on Web Search Click Data, 2012 | paper slides |
Pinch, Zoom, and Slide: Touch Screens Shown Helpful for Detecting Success in Mobile Search
Q. Guo, S. Yuan and E. Agichtein
SIGIR, 2011 | paper |
Why Searchers Switch: Understanding and Predicting Engine Switching Rationales
Q. Guo, R. W. White, Y. Zhang, B. Anderson, and S. Dumais
SIGIR, 2011 | paper slides |
Temporal Latent Semantic Analysis for Collaboratively Generated Content: Preliminary Results
Y. Wang, E. Agichtein
SIGIR, 2011 | paper slides |
Modeling Answerer Behavior in Collaborative Question Answering
Qiaoling Liu and Eugene Agichtein
ECIR, 2011 | paper |
Predicting Web Searcher Satisfaction with Existing Community-based Answers
Qiaoling Liu, Eugene Agichtein, Gideon Dror, Evgeniy Gabrilovich, Yoelle Maarek, Dan Pelleg, Idan Szpektor
SIGIR, 2011 | paper |
Detecting cognitive impairment by eye movement analysis using automatic classification algorithms
D. Lagun, C. Manzanares, S. Zola, E. Buffalo, and E. Agichtein
Journal of Neuroscience Methods, 2011 | |
ViewSer: A Tool for Large-Scale Studies of Web Search Result Examination
D. Lagun, E. Agichtein
CHI, 2011 | paper |
Find it if you can: Modeling and Predicting Successful Web Search with Crowd-sourced Behavior Data
M. Ageev, E. Agichtein, Qi Guo, D. Lagun
SIGIR, 2011 | paper |
ViewSer: Enabling Large-Scale Remote User Studies of Web Search Examination and Interaction
D. Lagun, E. Agichtein
SIGIR, 2011 | paper |
Towards Inferring Web Searcher Intent from Behavior Data
E. Agichtein and Q. Guo
CHI Workshop on Studying Online Behaviour, 2010 | paper |
Towards Predicting Web Searcher Gaze Position from Mouse Movements
Q. Guo and E. Agichtein
CHI, 2010 | paper |
Predicting Query Performance Using Query, Result, and User Interaction Features
Q. Guo, R. White, S. Dumais, J. Wang, and B. Anderson
RIAO, 2010 | paper |
Unsupervised Query Segmentation Using Click Data: Preliminary Results
J. Kiseleva, Q. Guo, E. Agichtein, D. Billsus and W. Chai
WWW, 2010 | |
Exploring Searcher Interactions for Distinguishing Types of Commercial Intent.
Q. Guo, and E. Agichtein
WWW, 2010 | |
Ready to Buy or Just Browsing? Detecting Web Searcher Goals from Interaction Data
Q. Guo, and E. Agichtein
SIGIR, 2010 | paper |
Query Ambiguity Revisited: Clickthrough Measures for Distinguishing Informational and Ambiguous Queries
Y. Wang and E. Agichtein
NAACL-HLT, 2010 | paper slides |
Using the Past to Score the Present: Extending Term Weighting Models with Revision History Analysis
A. Aji, Y. Wang, E. Agichtein and E. Gabrilovich
CIKM, 2010 | paper slides |
Exploring Web Browsing Context for Collaborative Question Answering
Qiaoling Liu, Yandong Liu and Eugene Agichtein
Information Interaction in Context , 2010 | paper |
VPC-W: a Web-based visual paired comparison task for early detection of amnestic mild cognitive impairment
E. Agichtein, E. Buffalo, D. Lagun, C. Manzanares , S. Zola
Society for Neuroscience Annual Meeting, 2010 | paper |
VPW: An Interactive Prototype of a Web-Based Visual Paired Comparison Behavioral Diagnostic Task
D. Lagun, E. Agichtein, E. Buffalo, C. Manzanares , S. Zola
Proceedings of the 1st ACM International Health Informatics Symposium, 2010 | paper |
Classifying and Characterizing Query Intent in Sponsored Search
A. Ashkan, C. Clarke, E. Agichtein and Q. Guo
ECIR, 2009 | paper |
EMU: The Emory User Behavior Modeling System for Automatic Library Search Evaluation: Preliminary Results
Q. Guo, R. Kelly, S. Deemer, A. Murphy, J. Smith, and E. Agichtein
JCDL, 2009 | |
Beyond Session Segmentation: Predicting Changes in Search Intent With Client-Side User Interactions.
Q. Guo and E. Agichtein
SIGIR, 2009 | paper |
Estimating Ad Clickthrough Rate through Query Intent Analysis
A. Ashkan, C. Clarke, E. Agichtein and Q. Guo
International Conference on Web Intelligence (WI), 2009 | paper |
In the Mood to Click? Towards Inferring Searcher Receptiveness to Advertising
Q. Guo, E. Agichtein, C. Clarke and A. Ashkan
International Conference on Web Intelligence (WI), 2009 | paper |
Modeling User Interactions for Automatic Library Search Evaluation: Preliminary Results
Q. Guo, A. Murphy, S. Deemer and E. Agichtein
JCDL, 2008 | paper |
Exploring Mouse Movements for Inferring Query Intent
Q. Guo and E. Agichtein
SIGIR, 2008 | paper |
Exploring Client-Side Instrumentation for Personalized Search Intent Inference
Q. Guo and E. Agichtein
AAAI Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2008 | paper |
Characterizing Query Intent From Ad Clickthrough Data
A. Ashkan, C. Clarke, E. Agichtein and Q. Guo
SIGIR Workshop on Information Retrieval in Advertising, 2008 | paper |
Understanding “Abandoned” Ads: Towards Personalized Commercial Intent Inference via Mouse Movement Analysis
Q. Guo, E. Agichtein, C. Clarke and A. Ashkan
SIGIR Workshop on Information Retrieval in Advertising, 2008 | paper |
Catriple: Extracting Triples from Wikipedia Categories
Qiaoling Liu, Kaifeng Xu, Lei Zhang, Haofen Wang, Yong Yu, and Yue Pan
Asian Semantic Web Conference, 2008 | paper |
