Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques, IEEE Transactions on Knowledge and Data Engineering, vol.24, issue.5, pp.896-911, 2012. ,
DOI : 10.1109/TKDE.2011.15
Context-aware recommender systems, AI Magazine, pp.67-80, 2011. ,
Understanding Usages by Modeling Diversity over Time, ACM Conference on User Modelling, Adaptation and Personalization (UMAP), 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01108990
Improving recommendation diversity, irish Conference on Artificial Intelligence and Cognitive Science, pp.85-94, 2001. ,
When diversity is needed, but not expected! In International Conference on Advances in Information Mining and Management (IMMM), pp.44-50, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00931805
Eye-tracking product recommenders' usage, Proceedings of the fourth ACM conference on Recommender systems, RecSys '10, pp.29-36, 2010. ,
DOI : 10.1145/1864708.1864717
Recommendation Based on Contextual Opinions, User Modeling, Adaptation, and Personalization, pp.61-73, 2014. ,
DOI : 10.1007/978-3-319-08786-3_6
Hey, That???s Personal!, User Modeling 2005, pp.4-4, 2005. ,
DOI : 10.1007/11527886_2
User perception of differences in recommender algorithms, Proceedings of the 8th ACM Conference on Recommender systems, RecSys '14, pp.161-168, 2014. ,
DOI : 10.1145/2645710.2645737
Context adaptation in interactive recommender systems, Proceedings of the 8th ACM Conference on Recommender systems, RecSys '14, pp.41-48, 2014. ,
DOI : 10.1145/2645710.2645753
User effort minimization through adaptive diversification, Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '14, pp.203-212, 2014. ,
DOI : 10.1145/2623330.2623610
User Perceived Qualities and Acceptance of Recommender Systems: The Role of Diversity, These, Ecole polytechnique de Lausanne, 2010. ,
Location-aware music recommendation using auto-tagging and hybrid matching, Proceedings of the 7th ACM conference on Recommender systems, RecSys '13, pp.17-24, 2013. ,
DOI : 10.1145/2507157.2507180
Dimensionality of information disclosure behavior, International Journal of Human-Computer Studies, vol.71, issue.12, pp.711144-1162, 2013. ,
DOI : 10.1016/j.ijhcs.2013.06.003
Temporal diversity in recommender systems, Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '10, pp.210-217, 2010. ,
DOI : 10.1145/1835449.1835486
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
Increasing diversity throught furhest neighbor?based recommandation, Proceedings of the Workshop on Diversity in Document Retrieval, WSDM'12, 2012. ,
Amazon will sell you things before you know you want to buy them. The Wire, 2014. ,
Similarity vs. Diversity, Proceedings of the 4th International Conference on Case? Based Reasoning: Case?Based Reasoning Research and Development , ICCBR '01, pp.347-361, 2001. ,
DOI : 10.1007/3-540-44593-5_25
Avoiding monotony, Proceedings of the 2008 ACM conference on Recommender systems, RecSys '08, pp.123-130, 2008. ,
DOI : 10.1145/1454008.1454030
Improving recommendation lists through topic diversification, Proceedings of the 14th international conference on World Wide Web , WWW '05, pp.22-32, 2005. ,
DOI : 10.1145/1060745.1060754