Context-Aware Dataset: STS - South Tyrol Suggests IoT Mobile App Data

STS dataset was collected by a context-aware recommender system mobile app named as "South Tyrol Suggests". The app provides context-aware recommendations for attractions, events, public services, restaurants, and much more based on the rating preferences and personality factors of users.

Contextual variables includes 

distance: far away, near by

time available: half day, one day, more than one day

temperature: burning, hot, warm, cool, cold, freezing

crowdedness: crowded, not crowded, empty

knowledge of surroundings: new to area, returning visitor, citizen of the area

season: spring, summer, autumn, winter

budget: budget traveler, price for quality, high spender

daytime: morning, noon, afternoon, evening, night

weather: clear sky, sunny, cloudy, rainy, thunderstorm, snowing

companion: alone, with friends/colleagues, with family, with girlfriend/boyfriend, with children

mood: happy, sad, active, lazy weekday: weekday, weekend

travel goal: visiting friends, business, religion, health care, social event, education, scenic/landscape, hedonistic/fun, activity/sport

means of transport: no transportation means, a bicycle, a car, public transport

More details can be found here:

Braunhofer, Matthias, Mehdi Elahi, and Francesco Ricci. "Techniques for cold-starting context-aware mobile recommender systems for tourism." Intelligenza Artificiale 8, no. 2 (2014): 129-143.