Towards better measurement of attention and satisfaction in mobile search D Lagun, CH Hsieh, D Webster, V Navalpakkam Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 158 | 2014 |
Find it if you can: a game for modeling different types of web search success using interaction data M Ageev, Q Guo, D Lagun, E Agichtein Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 151 | 2011 |
Detecting cognitive impairment by eye movement analysis using automatic classification algorithms D Lagun, C Manzanares, SM Zola, EA Buffalo, E Agichtein Journal of neuroscience methods 201 (1), 196-203, 2011 | 140 | 2011 |
Understanding user attention and engagement in online news reading D Lagun, M Lalmas Proceedings of the ninth ACM international conference on web search and data …, 2016 | 108 | 2016 |
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 | 102 | 2013 |
Viewser: Enabling large-scale remote user studies of web search examination and interaction D Lagun, E Agichtein Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 67 | 2011 |
Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 60 | 2022 |
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 | 58 | 2014 |
On-device few-shot personalization for real-time gaze estimation J He, K Pham, N Valliappan, P Xu, C Roberts, D Lagun, V Navalpakkam Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 56 | 2019 |
Lolnerf: Learn from one look D Rebain, M Matthews, KM Yi, D Lagun, A Tagliasacchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 51 | 2022 |
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 | 50 | 2012 |
Towards measuring and inferring user interest from gaze Y Li, P Xu, D Lagun, V Navalpakkam Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 45 | 2017 |
Improving search result summaries by using searcher behavior data M Ageev, D Lagun, E Agichtein Proceedings of the 36th international acm sigir conference on research and …, 2013 | 40 | 2013 |
Inferring searcher attention by jointly modeling user interactions and content salience D Lagun, E Agichtein Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 35 | 2015 |
Understanding mobile searcher attention with rich ad formats D Lagun, D McMahon, V Navalpakkam Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 28 | 2016 |
Understanding and measuring user engagement and attention in online news reading D Lagun, M Lalmas Proceedings of the ACM International Conference on Web Search and Data …, 2016 | 26 | 2016 |
Understanding how people interact with web search results that change in real-time using implicit feedback JY Kim, M Cramer, J Teevan, D Lagun Proceedings of the 22nd ACM international conference on information …, 2013 | 26 | 2013 |
Eye gaze tracking using neural networks D Lagun, V Navalpakkam US Patent 10,127,680, 2018 | 20 | 2018 |
Eye gaze tracking using neural networks D Lagun, J He, P Xu US Patent 10,846,877, 2020 | 19 | 2020 |
Gazegan-unpaired adversarial image generation for gaze estimation M Sela, P Xu, J He, V Navalpakkam, D Lagun arXiv preprint arXiv:1711.09767, 2017 | 19 | 2017 |