| Ready to buy or just browsing?: detecting web searcher goals from interaction data Q Guo, E Agichtein Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 186 | 2010 |
| Beyond dwell time: estimating document relevance from cursor movements and other post-click searcher behavior Q Guo, E Agichtein Proceedings of the 21st international conference on World Wide Web, 569-578, 2012 | 183 | 2012 |
| Towards predicting web searcher gaze position from mouse movements Q Guo, E Agichtein CHI'10 Extended Abstracts on Human Factors in Computing Systems, 3601-3606, 2010 | 153 | 2010 |
| Find it if you can: a game for modeling different types of web search success using interaction data M Ageev, QGDLE Agichtein Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 144 | 2011 |
| Exploring mouse movements for inferring query intent Q Guo, E Agichtein Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 124 | 2008 |
| Classifying and characterizing query intent A Ashkan, CLA Clarke, E Agichtein, Q Guo European Conference on Information Retrieval, 578-586, 2009 | 116 | 2009 |
| Mining touch interaction data on mobile devices to predict web search result relevance Q Guo, H Jin, D Lagun, S Yuan, E Agichtein Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 94 | 2013 |
| From Queries to Cards: Re-ranking Proactive Card Recommendations Based on Reactive Search History M Shokouhi, Q Guo Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 70 | 2015 |
| Promoting civil discourse through search engine diversity E Yom-Tov, S Dumais, Q Guo Social Science Computer Review 32 (2), 145-154, 2014 | 56 | 2014 |
| Discovering common motifs in cursor movement data for improving web search D Lagun, M Ageev, Q Guo, E Agichtein Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 52 | 2014 |
| Updating users about time critical events Q Guo, F Diaz, E Yom-Tov European Conference on Information Retrieval, 483-494, 2013 | 51 | 2013 |
| Why searchers switch: understanding and predicting engine switching rationales Q Guo, RW White, Y Zhang, B Anderson, ST Dumais Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 50 | 2011 |
| Predicting query performance using query, result, and user interaction features Q Guo, RW White, ST Dumais, J Wang, B Anderson Adaptivity, Personalization and Fusion of Heterogeneous Information, 198-201, 2010 | 48 | 2010 |
| Predicting web search success with fine-grained interaction data Q Guo, D Lagun, E Agichtein Proceedings of the 21st ACM international conference on Information and …, 2012 | 47 | 2012 |
| Automatic client-side user-behavior analysis for inferring user intent Y Agichtein, Q Guo, P Wolff US Patent 8,606,725, 2013 | 32 | 2013 |
| Detecting success in mobile search from interaction Q Guo, S Yuan, E Agichtein Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 26 | 2011 |
| Estimating ad clickthrough rate through query intent analysis A Ashkan, CLA Clarke, E Agichtein, Q Guo Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT'09. IEEE …, 2009 | 26 | 2009 |
| In the mood to click? Towards inferring receptiveness to search advertising Q Guo, E Agichtein, CLA Clarke, A Ashkan Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT'09. IEEE …, 2009 | 22 | 2009 |
| Modeling user interests for zero-query ranking L Yang, Q Guo, Y Song, S Meng, M Shokouhi, K McDonald, WB Croft European Conference on Information Retrieval, 171-184, 2016 | 19 | 2016 |
| Characterizing query intent from sponsored search clickthrough data A Ashkan, C Clarke, E Agichtein, Q Guo SIGIR Workshop, 2008 | 15 | 2008 |
Eugene AgichteinProfessor of Computer Science, Emory UniversityVerified email at emory.edu
