| Twitcident: fighting fire with information from social web streams F Abel, C Hauff, GJ Houben, R Stronkman, K Tao Proceedings of the 21st international conference on world wide web, 305-308, 2012 | 314 | 2012 |
| Activating learning at scale: A review of innovations in online learning strategies D Davis, G Chen, C Hauff, GJ Houben Computers & Education 125, 327-344, 2018 | 227 | 2018 |
| Research frontiers in information retrieval: Report from the third strategic workshop on information retrieval in lorne (SWIRL 2018) ACM SIGIR Forum 52 (1), 34-90, 2018 | 218* | 2018 |
| Follow the successful crowd: raising MOOC completion rates through social comparison at scale D Davis, I Jivet, RF Kizilcec, G Chen, C Hauff, GJ Houben Proceedings of the seventh international learning analytics & knowledge …, 2017 | 216 | 2017 |
| Semantics+ filtering+ search= twitcident. exploring information in social web streams F Abel, C Hauff, GJ Houben, R Stronkman, K Tao Proceedings of the 23rd ACM conference on Hypertext and social media, 285-294, 2012 | 214 | 2012 |
| A survey of pre-retrieval query performance predictors C Hauff, D Hiemstra, F de Jong Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 192 | 2008 |
| Matching GitHub developer profiles to job advertisements C Hauff, G Gousios 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 362-366, 2015 | 132 | 2015 |
| Gauging MOOC Learners' Adherence to the Designed Learning Path. D Davis, G Chen, C Hauff, GJ Houben International Educational Data Mining Society, 2016 | 118 | 2016 |
| Improved query difficulty prediction for the web C Hauff, V Murdock, R Baeza-Yates Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 118 | 2008 |
| LearningQ: a large-scale dataset for educational question generation G Chen, J Yang, C Hauff, GJ Houben Proceedings of the international AAAI conference on web and social media 12 (1), 2018 | 116 | 2018 |
| What does bert know about books, movies and music? probing bert for conversational recommendation G Penha, C Hauff Proceedings of the 14th ACM conference on recommender systems, 388-397, 2020 | 112 | 2020 |
| Scope of negation detection in sentiment analysis M Dadvar, C Hauff, FMG De Jong 11th Dutch-Belgian Information Retrieval Workshop, DIR 2011, 16-20, 2011 | 108 | 2011 |
| Predicting the effectiveness of queries and retrieval systems C Hauff | 104 | 2010 |
| Groundhog day: near-duplicate detection on twitter K Tao, F Abel, C Hauff, GJ Houben, U Gadiraju Proceedings of the 22nd international conference on World Wide Web, 1273-1284, 2013 | 99 | 2013 |
| The combination and evaluation of query performance prediction methods C Hauff, L Azzopardi, D Hiemstra European conference on information retrieval, 301-312, 2009 | 86 | 2009 |
| Twitter-based election prediction in the developing world N Dwi Prasetyo, C Hauff Proceedings of the 26th ACM Conference on Hypertext & Social Media, 149-158, 2015 | 81 | 2015 |
| WikiTranslate: query translation for cross-lingual information retrieval using only Wikipedia D Nguyen, A Overwijk, C Hauff, DRB Trieschnigg, D Hiemstra, F De Jong Evaluating Systems for Multilingual and Multimodal Information Access: 9th …, 2009 | 78 | 2009 |
| 🏆 Retrieval practice and study planning in MOOCs: Exploring classroom-based self-regulated learning strategies at scale D Davis, G Chen, T Zee, C Hauff, GJ Houben European conference on technology enhanced learning, 57-71, 2016 | 76 | 2016 |
| Siren: A simulation framework for understanding the effects of recommender systems in online news environments D Bountouridis, J Harambam, M Makhortykh, M Marrero, N Tintarev, ... Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 74 | 2019 |
| Asking the right question in collaborative q&a systems J Yang, C Hauff, A Bozzon, GJ Houben Proceedings of the 25th ACM conference on Hypertext and social media, 179-189, 2014 | 67 | 2014 |
Djoerd HiemstraRadboud UniversityBestätigte E-Mail-Adresse bei cs.ru.nl
