« Overcoming Accuracy-Diversity Tradeoff in Recommender Systems: A Variance-Based Approach, Proceedings of the 18th Workshop on Information Technology and Systems (WITS'08), 2008. ,
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques, IEEE Transactions on Knowledge and Data Engineering, vol.24, issue.5, pp.5-5, 2012. ,
DOI : 10.1109/TKDE.2011.15
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.8174
Diversifying search results, Proceedings of the Second ACM International Conference on Web Search and Data Mining, WSDM '09, pp.5-14, 2009. ,
DOI : 10.1145/1498759.1498766
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.188.1018
A hybrid content-based and item-based collaborative filtering approach to recommend TV programs enhanced with singular value decomposition, Information Sciences, vol.180, issue.22, pp.4290-4311, 2010. ,
DOI : 10.1016/j.ins.2010.07.024
Modélisation de comportements et apprentissage stochastique non supervisé de stratégies d'interactions sociales au sein de systèmes temps réel de recherche et d'accès à l'information, Thèse de doctorat, 2008. ,
Influence on Buyers' Decision Process », In proc, of the 3rd ACM Conference on Recommender Systems (RecSys'09), pp.361-364, 2009. ,
Eye-tracking product recommenders' usage, Proceedings of the fourth ACM conference on Recommender systems, RecSys '10, 2010. ,
DOI : 10.1145/1864708.1864717
URL : http://infoscience.epfl.ch/record/150716
Novelty and diversity in information retrieval evaluation, Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '08, pp.659-666, 2008. ,
DOI : 10.1145/1390334.1390446
« Placing High-Diversity Items in Top-N Recommendation Lists, Workshop on Intelligent Techniques for Web Personalization and Recommender Systems (ITWP'11), 2011. ,
« Preference Construction and Persistence in Digital Marketplaces: The Role of Electronic Recommendation Agents, Journal of Consumer Psychology, vol.13, pp.1-1, 2003. ,
Evaluating collaborative filtering recommender systems, Evaluating collaborative filtering recommender systems, pp.5-53, 2004. ,
DOI : 10.1145/963770.963772
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.8384
« Helping Users Perceive Recommendation Diversity, Proceedings of the 1st International Workshop on Novelty and Diversity in Recommender Systems (DiveRS'11), 2011. ,
User Perceived Qualities and Acceptance of Recommender Systems, 2010. ,
Evaluating Collaborative Filtering Over Time, 2010. ,
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
« Increasing Diversity Through Furthest Neighbor- Based Recommendation, Proceedings of the WSDM'12 Workshop on Diversity in Document Retrieval, 2012. ,
Item-based collaborative filtering recommendation algorithms, Proceedings of the tenth international conference on World Wide Web , WWW '01, pp.285-295, 2001. ,
DOI : 10.1145/371920.372071
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.7612
Netflix's $1m algorithm contest? Well, here's why it didn't use the winning entry », http://thenextweb.com/mediaremember-netflixs-1m-algorithm- contest-well-heres-why-it-didnt-use-the-winning-entry, p.2012, 2012. ,
« Using an Ontologcial A-priori Score to Infer User's Preferences », Workshop on Recommender Systems, Conjunction with the 17th European Conference on Artificial Intelligence Riva del Garda, Italy, 2006. ,
Feature-Weighted Linear Stacking, Netflix prize report, 2009. ,
The BigChaos Solution to the Netflix Grand Prize, Netflix prize report, 2009. ,
Amer-Yahia S., « Recommendation Diversification Using Explanations, Proceedings of the 2009 IEEE International Conference on Data Engineering (ICDE'09), pp.1299-1302, 2009. ,
Improving the Diversity of Recommendation Lists, Proceedings of the 2nd ACM Recommender Systems, pp.123-130, 2008. ,
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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.835