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 …

With the broad adoption of mobile devices, notably smartphones, keyword-based search for
content has seen increasing use by mobile users, who are often interested in content related …

Mobile crowdsourcing (MCS), as an effective and crucial technique of Industrial Internet of
Things, is enabling smart city initiatives in the real world. It aims at incorporating the …

With the development of mobile Internet and the prevalence of sharing economy, spatial
crowdsourcing (SC) is becoming more and more popular and attracts attention from both …

The problem of detecting co-movement patterns from trajectories has been extensively
studied by data science community. Existing methods are based on filter-and-refine …

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 …

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 …

Our goal is to answer real-world tourism questions that seek Points-of-Interest (POI)
recommendations. Such questions express various kinds of spatial and non-spatial …

With the proliferation of location-based social media, it is of great importance to provide web
users and mobile users with timely and high-quality information. In this light, we study the …

Real-time processing of spatial keyword queries has been playing an indispensable role in
location-based services. In this light, we propose and study a novel problem of processing …