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The problem of trip recommendation has been extensively studied in recent years, by both researchers and practitioners. However, one of its key aspects--understanding human mobility--remains under-explored. Many of the proposed methods for trip modeling rely on empirical analysis of attributes associated with historical points-of-interest (POIs) and routes generated by tourists while attempting to also intertwine personal preferences--such as contextual topics, geospatial, and temporal aspects. However, the implicit transitional prefere