Data warehouses store large volumes of consolidated and historized multidimensional data for analysis and exploration by decision-makers. Exploring data is an incremental OLAP (On- Line Analytical Processing) query process. In order to ease user exploration, recommender systems are used. However some recommendations can be insufficiently relevant. To overcome this problem, contextual data/information are integrated into the recommender system (RS) which becomes a context-aware RS. In this paper, we propose to determine the contextual data/information useful in OLAP applications and how to integrate it into an OLAP query RS.