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K. Michalakis, G. Alexandridis, G. Caridakis, Ph. Mylonas
Context incorporation in cultural path recommendation using topic modelling
Visual Pattern Extraction and Recognition for Cultural Heritage Understanding Workshop (VIPERC2019)
ABSTRACT
Even though path recommendation is a subject that has been vigorously studied, the majority of related work has been predominantly focused on travel and routing topics, with relatively minimal incorporation of cultural context. The latter issue is addressed in the current contribution through the proposition of a personalized, context-aware cultural path recommendation system, aiming at achieving an enhanced cultural experience for its users. More specifically, topic modelling is used to represent the landmarks, where each location is modeled as a distribution of latent topics that eventually describe its characteristics. The initial approach is subsequently extended through the fusion of contextual aspects that include visitor profile, their behavior during the visit and other environmental parameters that might affect the cultural experience. In this work, a subset of contextual aspects, consisting of the type of visited location and the time the visit occurred, is considered. The overall system is evaluated on a benchmark dataset in order to assess the effect of the contextual dimension in the produced recommendations.
30 January , 2019
K. Michalakis, G. Alexandridis, G. Caridakis, Ph. Mylonas, "Context incorporation in cultural path recommendation using topic modelling", Visual Pattern Extraction and Recognition for Cultural Heritage Understanding Workshop (VIPERC2019)
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