We developed a context-aware recommender which aims to predict a guest's interest in a certain (holiday) activity. After we created guest profiles which include user / age groups, regions, categories, period (last days / week / month). from anonymized Schladming-Dachstein Sommercard data which was provided by the municipality of Schladming, we recommended those activities to guests which they probably care most about.

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Beside recommending the most suitable activities to guests, an important aspect was to offer a range of steering opportunties. Hence, the recommeder allows the municipality of Schladming to target guests to certain activities or to (temporarily) exclude activities from results by dynamically taking into account particular activities, whether options, locations and category information for defined time frames and optional boosting settings.

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