Author: Nava Tintarev

Publication Overview

Publication period start: 2012

Number of co-authors: 11

Co-Authors

Number of publications with favourite co-authors

Rong Hu

Pearl Pu

Xavier Amatriain

Productive Colleagues

Most productive colleagues in number of publications

Judith Masthoff

Nuria Oliver

Pearl Pu

Publications

Tintarev, Nava (2007): Explaining Recommendations. In: Conati, Cristina, McCoy, Kathleen F., Paliouras, Georgios (eds.) User Modeling 2007 - 11th International Conference - UM 2007 June 25-29, 2007, Corfu, Greece. pp. 470-474. https://dx.doi.org/10.1007/978-3-540-73078-1_67

Tintarev, Nava, Flores, Ana, Amatriain, Xavier (2010): Off the beaten track: a mobile field study exploring the long tail of tourist recommendati. In: Proceedings of 12th Conference on Human-computer interaction with mobile devices and services , 2010, . pp. 209-218. https://doi.acm.org/10.1145/1851600.1851636

Black, Rolf, Waller, Annalu, Tintarev, Nava, Reiter, Ehud, Reddington, Joseph (2011): A mobile phone based personal narrative system. In: Thirteenth Annual ACM SIGACCESS Conference on Assistive Technologies , 2011, . pp. 171-178. https://dx.doi.org/10.1145/2049536.2049568

Tintarev, Nava, Masthoff, Judith (2007): Effective explanations of recommendations: user-centered design. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 153-156. https://dx.doi.org/10.1145/1297231.1297259

Tintarev, Nava (2007): Explanations of recommendations. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 203-206. https://dx.doi.org/10.1145/1297231.1297275

Amatriain, Xavier, Pujol, Josep M., Tintarev, Nava, Oliver, Nuria (2009): Rate it again: increasing recommendation accuracy by user re-rating. In: Proceedings of the 2009 ACM Conference on Recommender Systems , 2009, . pp. 173-180. https://dx.doi.org/10.1145/1639714.1639744

Tintarev, Nava, Hu, Rong, Pu, Pearl (2012): RecSys'12 workshop on interfaces for recommender systems (InterfaceRS'12). In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 355-356. https://dx.doi.org/10.1145/2365952.2366044