Context-Aware Restaurant Recommendation for Group of People
Qiliang Zhu, Lei Wang · 2020
Group recommendation has been widely investigated in various fields. In contrast to other research directions on group recommendations, restaurant group recommendations are more sensitive to location. However, current research has not given adequate consideration to this characteristic, so it is difficult to achieve higher global satisfaction. In this paper, we propose a context-aware restaurant group recommendation method to improve global satisfaction. We take into account the importance of location in restaurant recommendations and employ distance pre-filtering and distance-based ranking adjustment to improve recommendation satisfaction. Comprehensive experimental results show that our method can outperform other methods in terms of both global satisfaction and distance satisfaction.