Efficient Processing of Spatial Group Preference Queries

Zhang, Zhou; Jin, Peiquan; Tian, Yuan; Wan, Shouhong; Yue, Lihua

doi:10.1007/978-3-030-18579-4_38

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…For instance, Shim et al [39] suggested the use of the shortest route or the interest of riders to enhance the query ridesharing processing and to apply this kind of query also to environments with obstacles on the road and location uncertainty. Zhang et al [47] proposed the use of the historical information of each user in the group to automatically set the group preference and its weight in the social graph. Furthermore, several works suggested to focus future research on the development of new approaches for (i) assessing the relevance of the query results, for instance, by using realworld data collected from the Web [45]; and (ii) training knowledge graphs, for instance, by using deep learning technologies to intelligently perceive the user community preference information and choose the best POI to retrieve [61].…”

Section: Open Challenges Idmentioning

confidence: 99%

Query Processing of Geosocial Data in Location-Based Social Networks

D’Ulizia

Grifoni

Ferri

2021

IJGI

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The increasing use of social media and the recent advances in geo-positioning technologies have produced a great amount of geosocial data, consisting of spatial, textual, and social information, to be managed and queried. In this paper, we focus on the issue of query processing by providing a systematic literature review of geosocial data representations, query processing methods, and evaluation approaches published over the last two decades (2000–2020). The result of our analysis shows the categories of geosocial queries proposed by the surveyed studies, the query primitives and the kind of access method used to retrieve the result of the queries, the common evaluation metrics and datasets used to evaluate the performance of the query processing methods, and the main open challenges that should be faced in the near future. Due to the ongoing interest in this research topic, the results of this survey are valuable to many researchers and practitioners by gaining an in-depth understanding of the geosocial querying process and its applications and possible future perspectives.

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