Nava Tintarev

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Judith MasthoffUtrecht University and University of AberdeenVerified email at uu.nl
Ehud ReiterProfessor of Computing Science, University of AberdeenVerified email at abdn.ac.uk
John O'DonovanTeladoc Health Inc. and Computer Science Dept., University of California, Santa BarbaraVerified email at cs.ucsb.edu
Shabnam NajafianPhD candidate at TU DelftVerified email at tudelft.nl
Alexander FelfernigProfessor of Computer Science, Graz University of Technology, AustriaVerified email at ist.tugraz.at
Oana InelDelft University of TechnologyVerified email at tudelft.nl
Xavier AmatriainCTO, CuraiVerified email at amatriain.net
Tim DrawsDelft University of TechnologyVerified email at tudelft.nl
Katrien VerbertAssociate Professor, KU LeuvenVerified email at cs.kuleuven.be
Yucheng JinHong Kong Baptist UniversityVerified email at hkbu.edu.hk
Claudia HauffAssociate Professor, Delft University of Technology (NL)Verified email at tudelft.nl
M. (Mariët) TheuneHuman Media Interaction, University of TwenteVerified email at utwente.nl
Alisa RiegerPhD candidate, TU DelftVerified email at tudelft.nl
Ujwal GadirajuAssistant Professor, Web Information Systems, Delft University of TechnologyVerified email at tudelft.nl
Barry SmythDigital Chair of Computer Science, Insight Centre for Data Analytics, University College DublinVerified email at ucd.ie
Chris MellishComputing Science, University of AberdeenVerified email at abdn.ac.uk
Marko TkalcicUniversity of PrimorskaVerified email at famnit.upr.si
David GrausRandstad Groep NederlandVerified email at randstadgroep.nl
MESUT KAYAPostdoc at Aalborg University CopenhagenVerified email at hum.aau.dk
Alberto BacchelliAssociate Professor, Head of ZEST @ University of ZurichVerified email at ifi.uzh.ch

Nava Tintarev

Maastricht University

Verified email at maastrichtuniversity.nl - Homepage

Explanations Recommender Systems Natural Language Generation Human Computer Interaction


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A survey of explanations in recommender systems N Tintarev, J Masthoff 2007 IEEE 23rd international conference on data engineering workshop, 801-810, 2007	531	2007
Designing and evaluating explanations for recommender systems N Tintarev, J Masthoff Recommender systems handbook, 479-510, 2011	358	2011
Evaluating the effectiveness of explanations for recommender systems N Tintarev, J Masthoff User Modeling and User-Adapted Interaction 22 (4-5), 399-439, 2012	274	2012
Explaining recommendations: Design and evaluation N Tintarev, J Masthoff Recommender systems handbook, 353-382, 2015	203	2015
Effective explanations of recommendations: user-centered design N Tintarev, J Masthoff Proceedings of the 2007 ACM conference on Recommender systems, 153-156, 2007	198	2007
Rate it again: increasing recommendation accuracy by user re-rating X Amatriain, JM Pujol, N Tintarev, N Oliver Proceedings of the third ACM conference on Recommender systems, 173-180, 2009	181	2009
Explanations of recommendations N Tintarev Proceedings of the 2007 ACM conference on Recommender systems, 203-206, 2007	116	2007
Formal Arguments, Preferences, and Natural Language Interfaces to Humans: an Empirical Evaluation. F Cerutti, N Tintarev, N Oren ECAI, 207-212, 2014	60	2014
The effectiveness of personalized movie explanations: An experiment using commercial meta-data N Tintarev, J Masthoff International Conference on Adaptive Hypermedia and Adaptive Web-Based …, 2008	48	2008
Adapting recommendation diversity to openness to experience: a study of human behaviour N Tintarev, M Dennis, J Masthoff International Conference on User Modeling, Adaptation, and Personalization …, 2013	41	2013
Explaining recommendations N Tintarev International Conference on User Modeling, 470-474, 2007	40	2007
Using NLG and sensors to support personal narrative for children with complex communication needs R Black, J Reddington, E Reiter, N Tintarev, A Waller Proceedings of the NAACL HLT 2010 Workshop on Speech and Language Processing …, 2010	37	2010
Similarity for news recommender systems N Tintarev, J Masthoff Proceedings of the AH’06 Workshop on Recommender Systems and Intelligent …, 2006	35	2006
Effects of personal characteristics on music recommender systems with different levels of controllability Y Jin, N Tintarev, K Verbert Proceedings of the 12th ACM Conference on Recommender Systems, 13-21, 2018	33	2018
Off the beaten track: a mobile field study exploring the long tail of tourist recommendations N Tintarev, A Flores, X Amatriain Proceedings of the 12th international conference on Human computer …, 2010	29	2010
Automatically generating stories from sensor data J Reddington, N Tintarev Proceedings of the 16th international conference on Intelligent user …, 2011	26	2011
A Diversity Adjusting Strategy with Personality for Music Recommendation. F Lu, N Tintarev IntRS@ RecSys, 7-14, 2018	24	2018
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, ...	23	2019
Does reviewer recommendation help developers? V Kovalenko, N Tintarev, E Pasynkov, C Bird, A Bacchelli IEEE Transactions on Software Engineering 46 (7), 710-731, 2018	23	2018
Personal storytelling: Using Natural Language Generation for children with complex communication needs, in the wild… N Tintarev, E Reiter, R Black, A Waller, J Reddington International Journal of Human-Computer Studies 92, 1-16, 2016	21	2016

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