Spatial keyword search has been playing an indispensable role in personalized route
recommendation and geo-textual information retrieval. In this light, we conduct a survey on …

Large-scale trajectory dataset is always required for self-driving and many other
applications. In this paper, we focus on the trajectory generation problem, which aims to …

Abstract Point-of-interest (POI) recommendation is an important technique widely used in
self-driving services. While POI recommendation aims to recommend unvisited POIs to self …

Travel time estimation (TTE) is an important research topic in many geographic applications
for smart city research. However, existing approaches either ignore the impact of …

Semantic-aware spatial keyword search is an important technique for digital map services.
However, existing indexing and search methods have limited pruning effect due to the high …

Vehicular local advertising enables roadside retailers to provide timely and location-aware
advertisements to on-road vehicular users to attract more in-store visits. However, the …

Trip planning is one of the most important techniques in supporting digital map services. It
aims to find a set of location based services (LBSs) that can cover all user intended activities …

Collective spatial keyword query (CSKQ) is one of the most useful spatial queries in location-
based service systems. Although the availability of large-scale activity trajectories has given …

Geo-textual objects with both geographical location and textual description are gaining in
prevalence. Over the past decades, substantial research has been conducted on spatial …

Effective retrieval is essential for finding resources in demand handily amidst extensive data
records in data warehouse. Mainstream map retrieval methods suffer from intention gap …