  Context-aware recommender systems extend traditional recommenders by adapting
their suggestions to users' contextual situations. CARSKit is a Java-based
open-source library specifically designed for the context-aware recommendation,
where the state-of-the-art context-aware recommendation algorithms have been
implemented. This report provides the basic user's guide to CARSKit, including
how to prepare the data set, how to configure the experimental settings, and
how to evaluate the algorithms, as well as interpreting the outputs. The
instructions in this guide are applicable for CARSKit v0.3.5 and above.
