Publications
| GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation Kaustubh Dhole, Eugene Agichtein European Conference on Information Retrieval (ECIR) 2024 | |
| QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration Kaustubh Dhole, Shivam Bajaj, Ramraj Chandradevan, Eugene Agichtein North American Association of Computational Linguistics (NAACL) 2024 - Demo Track | |
| An Interactive Query Generation Assistant using LLM-based Prompt Modification and User Feedback Kaustubh Dhole, Ramraj Chandradevan, Eugene Agichtein IARPA, USA - Intelligence Advanced Research Projects Activity - BETTER 2023 | |
| Understanding Music Listening Intents During Daily Activities with Implications for Contextual Music RecommendationUnderstanding Music Listening Intents During Daily Activities with Implications for Contextual Music Recommendation Sergey Volokhin, Eugene Agichtein Conference on Human Information Interaction & Retrieval, 2018 | |
| Understanding Music Listening Intents During Daily Activities with Implications for Contextual Music RecommendationUnderstanding Music Listening Intents During Daily Activities with Implications for Contextual Music Recommendation Sergey Volokhin, Eugene Agichtein Conference on Human Information Interaction & Retrieval, 2018 | |
| Emersonbot: Information-Focused Conversational AI Emory University at the Alexa Prize 2017 ChallengeEmersonbot: 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 | |
| CRQA: Crowd-powered Real-time Automated Question Answering SystemCRQA: Crowd-powered Real-time Automated Question Answering System Denis Savenkov, Eugene Agichtein HCOMP, 2016 | |
| When a Knowledge Base is not Enough: Question Answering over Knowledge Bases with External Text DataWhen a Knowledge Base is not Enough: Question Answering over Knowledge Bases with External Text Data Denis Savenkov, Eugene Agichtein SIGIR, 2016 | |
| Crowdsourcing for (almost) Real-time Question AnsweringCrowdsourcing for (almost) Real-time Question Answering Denis Savenkov, Scott Weitzner, Eugene Agichtein Human-Computer Question Answering workshop at NAACL 2016, 2016 | |
| Ranking Answers and Web Passages for Non-factoid Question Answering: Emory IR Lab @ TREC 2015 LiveQARanking Answers and Web Passages for Non-factoid Question Answering: Emory IR Lab @ TREC 2015 LiveQA Denis Savenkov Text REtrieval Conference (TREC), 2015 | |
| Relation Extraction from Community Generated Question-Answer PairsRelation Extraction from Community Generated Question-Answer Pairs Denis Savenkov, Wei-Lwun Lu, Jeff Dalfon, Eugene Agichtein NAACL (Student Research Workshop), 2015 | |
| To Hint or Not: Exploring the Effectiveness of Search Hints for Complex Informational TasksTo Hint or Not: Exploring the Effectiveness of Search Hints for Complex Informational Tasks D. Savenkov, E. Agichtein SIGIR, 2014 | |
| Trust, but Verify: Predicting Contribution Quality for Knowledge Base Construction and CurationTrust, 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 | |
| Discovering Common Motifs in Cursor Movement Data for Improving Web Search RankingDiscovering Common Motifs in Cursor Movement Data for Improving Web Search Ranking D. Lagun, Q. Guo, M. Ageev, and E. Agichtein WSDM, 2014 | |
| Mining Touch Interaction Data on Mobile Devices to Predict Web Search Result RelevanceMining Touch Interaction Data on Mobile Devices to Predict Web Search Result Relevance Qi Guo, Haojian Jin, Dmitry Lagun, Shuai Yuan, Eugene Agichtein SIGIR, 2013 | |
| Characterizing and supporting cross-device search tasksCharacterizing and supporting cross-device search tasks Yu Wang, Xiao Huang, Ryen W. White WSDM, 2013 | |
| Leveraging Geographical Metadata to Improve Search over Social MediaLeveraging Geographical Metadata to Improve Search over Social Media A. Kotov, Y. Wang, E. Agichtein WWW, 2013 | |
| The Importance of Being Socially-Savvy: Quantifying the Influence of Social Networks on Microblog RetrievalThe Importance of Being Socially-Savvy: Quantifying the Influence of Social Networks on Microblog Retrieval A. Kotov, E. Agichtein CIKM, 2013 | |
| Towards Estimating Web Search Result Relevance from Touch Interactions on Mobile DevicesTowards 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 DataImproving Search Result Summaries By Using Searcher Behavior Data M. Ageev, D. Lagun, and E. Agichtein SIGIR, 2013 | |
| Explicit Feedback in Local Search TasksExplicit Feedback in Local Search Tasks D. Lagun, A. Sud, R. White, P. Bailey, and G. Buscher SIGIR, 2013 | |
| Predicting Cognitive Decline from Eye Movement ShapeletsPredicting 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 FeedbackUnderstanding 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 DataThe 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 PatternsDetecting 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 | |
| Touch Screens for Touchy Issues: Analysis of Accessing Sensitive Information from Mobile DevicesTouch 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 | |
| Search Engine Switching Detection Based on User Personal Preferences and Behavior PatternsSearch Engine Switching Detection Based on User Personal Preferences and Behavior Patterns D. Savenkov, D. Lagun, Q. Liu SIGIR, 2013 | |
| TM-LDA: efficient online modeling of latent topic transitions in social mediaTM-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 BehaviorBeyond Dwell Time: Estimating Document Relevance from Cursor Movements and other Post-click Searcher Behavior Q. Guo and E. Agichtein WWW, 2012 | |
| When Web Search Fails, Searchers Become Askers: Understanding the TransitionWhen Web Search Fails, Searchers Become Askers: Understanding the Transition Qiaoling Liu, Eugene Agichtein, Gideon Dror, Yoelle Maarek, Idan Szpektor SIGIR, 2012 | |
| Re-Examining Search Result Snippet Examination Time for Relevance EstimationRe-Examining Search Result Snippet Examination Time for Relevance Estimation D. Lagun and E. Agichtein SIGIR, 2012 | |
| Developing and Validating Automated Web-Based Behavioral Diagnostics for Early Detection of Alzheimer's DiseaseDeveloping 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 DataPredicting 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 DataImproving 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 | |
| Pinch, Zoom, and Slide: Touch Screens Shown Helpful for Detecting Success in Mobile SearchPinch, Zoom, and Slide: Touch Screens Shown Helpful for Detecting Success in Mobile Search Q. Guo, S. Yuan and E. Agichtein SIGIR, 2011 | |
| Why Searchers Switch: Understanding and Predicting Engine Switching RationalesWhy Searchers Switch: Understanding and Predicting Engine Switching Rationales Q. Guo, R. W. White, Y. Zhang, B. Anderson, and S. Dumais SIGIR, 2011 | |
| Temporal Latent Semantic Analysis for Collaboratively Generated Content: Preliminary ResultsTemporal Latent Semantic Analysis for Collaboratively Generated Content: Preliminary Results Y. Wang, E. Agichtein SIGIR, 2011 | |
| Modeling Answerer Behavior in Collaborative Question AnsweringModeling Answerer Behavior in Collaborative Question Answering Qiaoling Liu and Eugene Agichtein ECIR, 2011 | |
| Predicting Web Searcher Satisfaction with Existing Community-based AnswersPredicting Web Searcher Satisfaction with Existing Community-based Answers Qiaoling Liu, Eugene Agichtein, Gideon Dror, Evgeniy Gabrilovich, Yoelle Maarek, Dan Pelleg, Idan Szpektor SIGIR, 2011 | |
| Detecting cognitive impairment by eye movement analysis using automatic classification algorithmsDetecting 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 ExaminationViewSer: A Tool for Large-Scale Studies of Web Search Result Examination D. Lagun, E. Agichtein CHI, 2011 | |
| Find it if you can: Modeling and Predicting Successful Web Search with Crowd-sourced Behavior DataFind 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 | |
| ViewSer: Enabling Large-Scale Remote User Studies of Web Search Examination and InteractionViewSer: Enabling Large-Scale Remote User Studies of Web Search Examination and Interaction D. Lagun, E. Agichtein SIGIR, 2011 | |
| Towards Inferring Web Searcher Intent from Behavior DataTowards Inferring Web Searcher Intent from Behavior Data E. Agichtein and Q. Guo CHI Workshop on Studying Online Behaviour, 2010 | |
| Towards Predicting Web Searcher Gaze Position from Mouse MovementsTowards Predicting Web Searcher Gaze Position from Mouse Movements Q. Guo and E. Agichtein CHI, 2010 | |
| Predicting Query Performance Using Query, Result, and User Interaction FeaturesPredicting Query Performance Using Query, Result, and User Interaction Features Q. Guo, R. White, S. Dumais, J. Wang, and B. Anderson RIAO, 2010 | |
| Unsupervised Query Segmentation Using Click Data: Preliminary ResultsUnsupervised 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.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 DataReady to Buy or Just Browsing? Detecting Web Searcher Goals from Interaction Data Q. Guo, and E. Agichtein SIGIR, 2010 | |
| Query Ambiguity Revisited: Clickthrough Measures for Distinguishing Informational and Ambiguous QueriesQuery Ambiguity Revisited: Clickthrough Measures for Distinguishing Informational and Ambiguous Queries Y. Wang and E. Agichtein NAACL-HLT, 2010 | |
| Using the Past to Score the Present: Extending Term Weighting Models with Revision History AnalysisUsing 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 | |
| Exploring Web Browsing Context for Collaborative Question AnsweringExploring Web Browsing Context for Collaborative Question Answering Qiaoling Liu, Yandong Liu and Eugene Agichtein Information Interaction in Context , 2010 | |
| VPC-W: a Web-based visual paired comparison task for early detection of amnestic mild cognitive impairmentVPC-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 | |
| VPW: An Interactive Prototype of a Web-Based Visual Paired Comparison Behavioral Diagnostic TaskVPW: 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 | |
| Classifying and Characterizing Query Intent in Sponsored SearchClassifying and Characterizing Query Intent in Sponsored Search A. Ashkan, C. Clarke, E. Agichtein and Q. Guo ECIR, 2009 | |
| EMU: The Emory User Behavior Modeling System for Automatic Library Search Evaluation: Preliminary ResultsEMU: 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.Beyond Session Segmentation: Predicting Changes in Search Intent With Client-Side User Interactions. Q. Guo and E. Agichtein SIGIR, 2009 | |
| Estimating Ad Clickthrough Rate through Query Intent AnalysisEstimating Ad Clickthrough Rate through Query Intent Analysis A. Ashkan, C. Clarke, E. Agichtein and Q. Guo International Conference on Web Intelligence (WI), 2009 | |
| In the Mood to Click? Towards Inferring Searcher Receptiveness to AdvertisingIn 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 | |
| Modeling User Interactions for Automatic Library Search Evaluation: Preliminary ResultsModeling User Interactions for Automatic Library Search Evaluation: Preliminary Results Q. Guo, A. Murphy, S. Deemer and E. Agichtein JCDL, 2008 | |
| Exploring Mouse Movements for Inferring Query IntentExploring Mouse Movements for Inferring Query Intent Q. Guo and E. Agichtein SIGIR, 2008 | |
| Exploring Client-Side Instrumentation for Personalized Search Intent InferenceExploring Client-Side Instrumentation for Personalized Search Intent Inference Q. Guo and E. Agichtein AAAI Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2008 | |
| Characterizing Query Intent From Ad Clickthrough DataCharacterizing Query Intent From Ad Clickthrough Data A. Ashkan, C. Clarke, E. Agichtein and Q. Guo SIGIR Workshop on Information Retrieval in Advertising, 2008 | |
| Understanding “Abandoned” Ads: Towards Personalized Commercial Intent Inference via Mouse Movement AnalysisUnderstanding “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 | |
| Catriple: Extracting Triples from Wikipedia CategoriesCatriple: Extracting Triples from Wikipedia Categories Qiaoling Liu, Kaifeng Xu, Lei Zhang, Haofen Wang, Yong Yu, and Yue Pan Asian Semantic Web Conference, 2008 |