ConcertTweets: A Multi-Dimensional Data Set for Recommender Systems Research
Panagiotis Adamopoulos · 2014
We present a multi-dimensional data set suitable for recommender systems research. This unique data set combines implicit and explicit user ratings with rich content as well as spatio-temporal contextual dimensions and social network data. The data set can be easily further enriched with additional dimensions and ratings.