  We introduce Auto-Surprise, an Automated Recommender System library.
Auto-Surprise is an extension of the Surprise recommender system library and
eases the algorithm selection and configuration process. Compared to
out-of-the-box Surprise library, Auto-Surprise performs better when evaluated
with MovieLens, Book Crossing and Jester Datasets. It may also result in the
selection of an algorithm with significantly lower runtime. Compared to
Surprise's grid search, Auto-Surprise performs equally well or slightly better
in terms of RMSE, and is notably faster in finding the optimum hyperparameters.
