In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.

The problem of recommending tours to travellers is an impor-<lb>tant and broadly studied area. Suggested solutions include<lb>various approaches of points-of-interest (POI) recommenda-<lb>tion and route planning. We consider the task of recommend-<lb>ing a sequence of POIs, that simultaneously uses information<lb>about POIs and routes. Our approach unifies the treatment<lb>of various sources of information by representing them as fea-<lb>tures in machine learning algorithms, enabling us to learn<lb>from past behaviour. Information about POIs are used to<lb>learn a POI ranking model that accounts for the start and<lb>end points of tours. Data about previous trajectories are used<lb>for learning transition patterns between POIs that enable us<lb>to recommend probable routes. In addition, a probabilistic<lb>model is proposed to combine the results of POI ranking and<lb>the POI to POI transitions. We propose a new F1 score on<lb>pairs of POIs that capture the order of visits. Empirical re-<lb>sults show that our approach improves on recent methods,<lb>and demonstrate that combining points and routes enables<lb>better trajectory recommendations.
Learning Points and Routes to Recommend Trajectories