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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Collective POI Querying Based on Multiple Keywords and User Preference
verfasst von : Dongjin Yu, Yiyu Wu, Chengfei Liu, Xiaoxiao Sun
Erschienen in: Database Systems for Advanced Applications
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Abstract
Point-of-interest (POI) querying, which searches and recommends visiting places for individuals with context constraints, has recently become a very popular location-based service. The existing approaches, however, mainly focus on finding a single POI instead of a group of POIs that are neibouring with each other. Some few approaches do handle the querying of collective POIs, but fail to consider users’ preference. In this paper, we devise a novel approach which aims to retrieve collective POIs based on multiple keywords given by a user as well as user preference, POI popularity and congestion. In addition, we design a cost function to calculate the visit cost of the candidate POIs. We also propose an efficient algorithm based on IR-tree which finds the optimal solution to achieve the balance between multiple optimization targets. The extensive experiments based on the real data from Toronto Canada demonstrate the effectiveness and efficiency of our approach.