G. Colliat, OLAP, relational, and multidimensional database systems, ACM SIGMOD Record, vol.25, issue.3, pp.64-69, 1996.
DOI : 10.1145/234889.234901

R. Kimball, The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses, 1996.

P. Lyman, H. R. Varian, P. Charles, N. Good, L. L. Jordan et al., How much information ? Available at http:www2.sims.berkeley, 2003.

G. Adomavicius and A. Tuzhilin, Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.6, pp.734-749, 2005.
DOI : 10.1109/TKDE.2005.99

R. A. Baeza-yates, Query intent prediction and recommendation, Proceedings of the fourth ACM conference on Recommender systems, RecSys '10, pp.5-6, 2010.
DOI : 10.1145/1864708.1864711

G. Chatzopoulou, M. Eirinaki, and N. Polyzotis, Query Recommendations for Interactive Database Exploration, SSDBM, pp.3-18, 2009.
DOI : 10.1007/11527886_15

N. Khoussainova, M. Balazinska, W. Gatterbauer, Y. Kwon, and D. Suciu, A case for a collaborative query management system, CIDR, 2009.

K. Stefanidis, M. Drosou, and E. Pitoura, you may also like " results in relational databases, Proc. of the 3nd International Workshop on Personalized Access, Profile Management and Context Awareness: Databases, 2009.

P. Marcel and E. Negre, A survey of query recommendation techniques for datawarehouse exploration, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00598318

E. Negre, H. Jerbi, F. Ravat, O. Teste, and G. Zurfluh, Exploration collaborative de cubes de donnes Preference-based recommendations for olap analysis, pp.467-478, 2009.

L. Bellatreche, A. Giacometti, P. Marcel, H. Mouloudi, and D. Laurent, A personalization framework for OLAP queries, Proceedings of the 8th ACM international workshop on Data warehousing and OLAP , DOLAP, pp.9-18, 2005.
DOI : 10.1145/1097002.1097005

M. Golfarelli, S. Rizzi, and P. Biondi, myOLAP: An Approach to Express and Evaluate OLAP Preferences, IEEE Transactions on Knowledge and Data Engineering, vol.23, issue.7, pp.1050-1064, 2011.
DOI : 10.1109/TKDE.2010.196

S. Sarawagi, User-adaptive exploration of multidimensional data, VLDB, pp.307-316, 2000.

V. Cariou, J. Cubillé, C. Derquenne, S. Goutier, F. Guisnel et al., Built-In Indicators to Discover Interesting Drill Paths in a Cube, DaWaK, pp.33-44, 2008.
DOI : 10.1007/978-3-540-85836-2_4

C. Sapia, On modeling and predicting query behavior in olap systems, DMDW, p.2, 1999.

X. Yang, C. M. Procopiuc, and D. Srivastava, Recommending Join Queries via Query Log Analysis, 2009 IEEE 25th International Conference on Data Engineering, pp.964-975, 2009.
DOI : 10.1109/ICDE.2009.122

A. Giacometti, P. Marcel, and E. Negre, A framework for recommending OLAP queries, Proceeding of the ACM 11th international workshop on Data warehousing and OLAP, DOLAP '08, pp.73-80, 2008.
DOI : 10.1145/1458432.1458446

URL : https://hal.archives-ouvertes.fr/hal-01024083

A. Giacometti, P. Marcel, E. Negre, and A. Soulet, Query recommendations for OLAP discovery driven analysis, Proceeding of the ACM twelfth international workshop on Data warehousing and OLAP, DOLAP '09, pp.1-25, 2011.
DOI : 10.1145/1651291.1651306

URL : https://hal.archives-ouvertes.fr/hal-01021237

O. Romero, P. Marcel, A. Abelló, V. Peralta, and L. Bellatreche, Describing Analytical Sessions Using a Multidimensional Algebra, Proceedings of the 13th international conference on Data warehousing and knowledge discovery, ser. DaWaK'11, pp.224-239, 2011.
DOI : 10.1016/j.datak.2010.03.006

URL : https://hal.archives-ouvertes.fr/hal-01024339

A. I. Schein, A. Popescul, L. H. Ungar, and D. M. Pennock, Generative models for cold-start recommendations, IN PROCEEDINGS OF THE 2001 SIGIR WORKSHOP ON RECOMMENDER SYSTEMS, 2001.

M. A. K?opotek, Approaches to cold start in recommender systems, Proceedings of 10th International Conference on Artificial Intelligence, pp.29-33, 2008.

N. Golbandi, Y. Koren, and R. Lempel, Adaptive bootstrapping of recommender systems using decision trees, Proceedings of the fourth ACM international conference on Web search and data mining, WSDM '11, pp.595-604, 2011.
DOI : 10.1145/1935826.1935910

A. M. Rashid, G. Karypis, and J. , Learning preferences of new users in recommender systems, ACM SIGKDD Explorations Newsletter, vol.10, issue.2, pp.90-100, 2008.
DOI : 10.1145/1540276.1540302

A. I. Schein, A. Popescul, L. H. Ungar, and D. M. Pennock, Methods and metrics for cold-start recommendations, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '02, pp.253-260, 2002.
DOI : 10.1145/564376.564421

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.6042

F. Ravat, O. Teste, R. Tournier, and G. Zurfluh, Graphical Querying of Multidimensional Databases, ADBIS, pp.298-313, 2007.
DOI : 10.1007/978-3-540-75185-4_22

T. Sboui, M. Salehi, and Y. Bédard, A systematic approach for managing the risk related to semantic interoperability between geospatial datacubes, IJAEIS, vol.1, issue.2, pp.20-41, 2010.

R. W. White, Studying the use of popular destinations to enhance web search interaction, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '07, pp.159-166, 2007.
DOI : 10.1145/1277741.1277771