Geo-textual indices play an important role in spatial keyword querying. The existing geo-
textual indices have not been compared systematically under the same experimental …

With advances in geo-positioning technologies and geo-location services, there are a
rapidly growing amount of spatio-textual objects collected in many applications such as …

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 …

Recently, spatial keyword queries become a hot topic in the literature. One example of these
queries is the collective spatial keyword query (CoSKQ) which is to find a set of objects in …

Conventional top-k spatial keyword queries require users to explicitly specify their
preferences between spatial proximity and keyword relevance. In this work we investigate …

Microblogs data is the microlength user-generated data that is posted on the web, eg,
tweets, online reviews, comments on news and social media. It has gained considerable …

As an important type of spatial keyword query, the m-closest keywords (m CK) query finds a
group of objects such that they cover all query keywords and have the smallest diameter …

The collective spatial keyword query (CSKQ), an important variant of spatial keyword
queries, aims to find a set of the objects that collectively cover users' queried keywords, and …

Reverse k nearest neighbor (RkNN) queries have a broad application base such as
decision support, profile-based marketing, and resource allocation. Previous work on RkNN …