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. Baeza-yates, C. Hurtado, and M. Mendoza, Query Recommendation Using Query Logs in Search Engines, Proc. EDBT, pp.588-596, 2004.
DOI : 10.1007/978-3-540-30192-9_58

N. Khoussainova, M. Balazinska, W. Gatterbauer, Y. Kwon, and D. Suciu, A Case for A Collaborative Query Management System, Fourth Biennial Conference on Innovative Data Systems Research, 2009.

K. Stefanidis, M. Drosou, and E. Pitoura, You May Also Like " results in relational databases, Proceedings International Workshop on Personalized Access, Profile Management and Context Awareness: Databases, 2009.

G. Chatzopoulou, M. Eirinaki, and N. Polyzotis, Query Recommendations for Interactive Database Exploration, Lecture Notes in Computer Science, vol.22, issue.1, pp.3-18, 2009.
DOI : 10.1007/11527886_15

N. Khoussainova, Y. Kwon, M. Balazinska, and D. Suciu, SnipSuggest, Proceedings of the VLDB Endowment, vol.4, issue.1, pp.22-33, 2010.
DOI : 10.14778/1880172.1880175

N. Khoussainova, Y. Kwon, W. T. Liao, M. Balazinska, W. Gatterbauer et al., Session-Based Browsing for More Effective Query Reuse, Scientific and Statistical Database Management -23rd International Conference, SSDBM 2011, pp.583-585, 2011.
DOI : 10.1007/978-3-642-22351-8_47

M. Drosou and E. Pitoura, ReDRIVE, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.1547-1552, 2011.
DOI : 10.1145/2063576.2063798

G. Koutrika and A. S. , Mirror mirror on the wall, which query's fairest of them all? In: CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, 2013.

T. Sellam and M. Kersten, Meet Charles, big data query advisor, CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, 2013.

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

C. Sapia, PROMISE: Predicting Query Behavior to Enable Predictive Caching Strategies for OLAP Systems, Proc. DaWaK, pp.224-233, 2000.
DOI : 10.1007/3-540-44466-1_22

R. Howard, Dynamic programming and Markov processes, 1960.

S. Sarawagi, R. Agrawal, and N. Megiddo, Discovery-driven exploration of OLAP data cubes, Proc. EDBT, pp.168-182, 1998.
DOI : 10.1007/BFb0100984

S. Sarawagi, Explaining differences in multidimensional aggregates, Proc. VLDB, pp.42-53, 1999.

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

J. Aligon, M. Golfarelli, P. Marcel, and S. Rizzi, Similarity measures for OLAP sessions, Knowledge and Information Systems, vol.21, issue.1, 2013.
DOI : 10.1007/s10115-013-0614-1
URL : https://hal.archives-ouvertes.fr/hal-01170967

A. Giacometti, P. Marcel, and E. Negre, Recommending Multidimensional Queries, Proc. DaWaK, pp.453-466, 2009.
DOI : 10.1007/BF01386390
URL : https://hal.archives-ouvertes.fr/hal-01024095

M. Drosou and E. Pitoura, ReDRIVE, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.1547-1552, 2011.
DOI : 10.1145/2063576.2063798

X. Yang, C. 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