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Abstract In many applications of recommender systems, a larger fraction of the user population are first-time users or are not logged in when they use the service. In these cases, the item suggestions by the recommender cannot be based on individual long-term preference profiles. Instead, the recommendations have to be determined based on the observed short-term behavior  of the users. Due to the high practical relevance of session-based recommendation, different proposals were made in recent years to deal with the…