Name
Abstract | ||
|---|---|---|
ABSTRACTOne of the most popular applications of Location Based Services (LBS) is recommending a Point of Interest (POI) based on user's preferences and geo-locations. However, the existing approaches have not tackled the problem of jointly determining: (a) a sequence of POIs that can be traversed within certain budget (i.e., limit on distance) and simultaneously provide a high-enough diversity; and (b) recommend the best origin (i.e., the hotel) for a given user, so that the desired route of POIs can be traversed within the specified constraints. In this work, we take a first step towards identifying this new problem and formalizing it as a novel type of a query. Subsequently, we present naïve solutions and experimental observations over a real-life datasets, illustrating the trade-offs in terms of (dis)associating the initial location from the rest of the POIs. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3474717.3483985 | Geographic Information Systems |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xu Teng | 1 | 2 | 2.05 |
| Goce Trajcevski | 2 | 1732 | 141.26 |
| Andreas Züfle | 3 | 18 | 10.80 |