Name
Abstract | ||
|---|---|---|
Location-Based Services are often used to find proximal Points of Interest PoI - e.g., nearby restaurants and museums, police stations, hospitals, etc. - in a plethora of applications. An important recently addressed variant of the problem not only considers the distance/proximity aspect, but also desires semantically diverse locations in the answer-set. For instance, rather than picking several close-by attractions with similar features - e.g., restaurants with similar menus; museums with similar art exhibitions - a tourist may be more interested in a result set that could potentially provide more diverse types of experiences, for as long as they are within an acceptable distance from a given (current) location. Towards that goal, in this work we propose a novel approach to efficiently retrieve a path that will maximize the semantic diversity of the visited PoIs that are within distance limits along a given road network. We introduce a novel indexing structure - the Diversity Aggregated R-tree, based on which we devise efficient algorithms to generate the answer-set - i.e., the recommended locations among a set of given PoIs - relying on a greedy search strategy. Our experimental evaluations conducted on real datasets demonstrate the benefits of proposed methodology over the baseline alternative approaches. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MDM48529.2020.00028 | 2020 21st IEEE International Conference on Mobile Data Management (MDM) |
Keywords | DocType | ISSN |
Diversity,Trajectories,Road Networks,Indexing | Conference | 1551-6245 |
ISBN | Citations | PageRank |
978-1-7281-4664-5 | 1 | 0.35 |
References | Authors | |
21 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xu Teng | 1 | 2 | 2.05 |
| Goce Trajcevski | 2 | 1732 | 141.26 |
| Joon-Seok Kim | 3 | 19 | 5.50 |
| Andreas Züfle | 4 | 18 | 10.80 |