An overview of recommendation techniques and their applications in healthcare
With the increasing amount of information on the internet, recommendation system (RS) has
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
Stan: Spatio-temporal attention network for next location recommendation
The next location recommendation is at the core of various location-based applications.
Current state-of-the-art models have attempted to solve spatial sparsity with hierarchical …
Current state-of-the-art models have attempted to solve spatial sparsity with hierarchical …
Graph-flashback network for next location recommendation
Next Point-of Interest (POI) recommendation plays an important role in location-based
applications, which aims to recommend the next POIs to users that they are most likely to …
applications, which aims to recommend the next POIs to users that they are most likely to …
Graph-enhanced spatial-temporal network for next POI recommendation
The task of next Point-of-Interest (POI) recommendation aims at recommending a list of POIs
for a user to visit at the next timestamp based on his/her previous interactions, which is …
for a user to visit at the next timestamp based on his/her previous interactions, which is …
Learning graph-based disentangled representations for next POI recommendation
Next Point-of-Interest (POI) recommendation plays a critical role in many location-based
applications as it provides personalized suggestions on attractive destinations for users …
applications as it provides personalized suggestions on attractive destinations for users …
Decentralized collaborative learning framework for next POI recommendation
Next Point-of-Interest (POI) recommendation has become an indispensable functionality in
Location-based Social Networks (LBSNs) due to its effectiveness in helping people decide …
Location-based Social Networks (LBSNs) due to its effectiveness in helping people decide …
Building and exploiting spatial–temporal knowledge graph for next POI recommendation
Abstract Next Point-of-Interest (POI) recommendation has shown great value for both users
and businesses in the field of location-based services. Many spatial–temporal inferring …
and businesses in the field of location-based services. Many spatial–temporal inferring …
A survey on deep learning based Point-of-Interest (POI) recommendations
Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
Urbankg: An urban knowledge graph system
Every day, our living city produces a tremendous amount of spatial-temporal data, involved
with multiple sources from the individual scale to the city scale. Undoubtedly, such massive …
with multiple sources from the individual scale to the city scale. Undoubtedly, such massive …
MobTCast: Leveraging auxiliary trajectory forecasting for human mobility prediction
Human mobility prediction is a core functionality in many location-based services and
applications. However, due to the sparsity of mobility data, it is not an easy task to predict …
applications. However, due to the sparsity of mobility data, it is not an easy task to predict …