Context?aware recommender systems. Recommender Systems Handbook, pp.217-253, 2011. ,
When diversity is needed... but not expected! In IMMM, pp.44-50, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00931805
Toward a Robust Diversity-Based Model to Detect Changes of Context, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), 2015. ,
DOI : 10.1109/ICTAI.2015.84
URL : https://hal.archives-ouvertes.fr/hal-01252832
Hey, That???s Personal!, User Modeling 2005, pp.4-4, 2005. ,
DOI : 10.1007/11527886_2
A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications, Human-Computer Interaction, vol.37, issue.3, pp.97-166, 2001. ,
DOI : 10.1109/98.626982
Understanding Usages by Modeling Diversity over Time, UMAP 2014 Extended Proceedings, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01108990
Modéliser la diversité au cours du temps pour détecter le contexte dans un service de musique en ligne, 2016. ,
On the Role of Diversity in Conversational Recommender Systems, Proceedings of the Fifth International Conference on Case?Based Reasoning, pp.276-290, 2003. ,
DOI : 10.1007/3-540-45006-8_23
Being accurate is not enough, CHI '06 extended abstracts on Human factors in computing systems, CHI EA '06, pp.1097-1101, 2006. ,
DOI : 10.1145/1125451.1125659
Similarity vs. diversity. ICCBR '01, pp.347-361, 2001. ,