Spontaneous Event Recommendations on the Go
Daniel Herzog, Wolfgang Wörndl · 2015
In this paper, we summarize our previous work in the field of event recommendations and give an outlook on future work. We developed a recommender system which implements a hybrid recommendation technique to provide accurate recommendations. A two-week user study showed that our system delivers promising results. Nevertheless, we believe that this approach mainly supports users who are looking for recommendations a long time in advance. Other possible situations in which people could be open for recommendations are more spontaneous, for example, when they are already out exploring the city. We give an overview of aspects which have to be considered fur such spontaneous recommendations on the go and the role of social context in this scenario.