Bidirectional GRU networks‐based next POI category prediction for healthcare
Abstract The Corona Virus Disease 2019 has a great impact on public health and public
psychology. People stay at home for a long time and rarely go out. With the improvement of …
psychology. People stay at home for a long time and rarely go out. With the improvement of …
An attention‐based category‐aware GRU model for the next POI recommendation
With the continuous accumulation of users' check‐in data, we can gradually capture users'
behavior patterns and mine users' preferences. Based on this, the next point‐of‐interest …
behavior patterns and mine users' preferences. Based on this, the next point‐of‐interest …
[PDF][PDF] An interactive multi-task learning framework for next POI recommendation with uncertain check-ins
Studies on next point-of-interest (POI) recommendation mainly seek to learn users' transition
patterns with certain historical check-ins. However, in reality, users' movements are typically …
patterns with certain historical check-ins. However, in reality, users' movements are typically …
Personalized long-and short-term preference learning for next POI recommendation
Next POI recommendation has been studied extensively in recent years. The goal is to
recommend next POI for users at specific time given users' historical check-in data …
recommend next POI for users at specific time given users' historical check-in data …
Real-time POI recommendation via modeling long-and short-term user preferences
Abstract Recently, Next Point-of-Interest (POI) Recommendation which proposes users for
their next visiting locations, has gained increasing attention. A timely and accurate next POI …
their next visiting locations, has gained increasing attention. A timely and accurate next POI …
Mapping user interest into hyper-spherical space: A novel POI recommendation method
M Gan, Y Ma - Information Processing & Management, 2023 - Elsevier
Abstract Point-of-interest (POI) recommendation helps users quickly filter out irrelevant POI
by considering the spatio-temporal factor. In this paper, we address the problem of check-in …
by considering the spatio-temporal factor. In this paper, we address the problem of check-in …
A category-aware deep model for successive POI recommendation on sparse check-in data
As considerable amounts of POI check-in data have been accumulated, successive point-of-
interest (POI) recommendation is increasingly popular. Existing successive POI …
interest (POI) recommendation is increasingly popular. Existing successive POI …
Where to go next: A spatio-temporal gated network for next poi recommendation
Next Point-of-Interest (POI) recommendation which is of great value to both users and POI
holders is a challenging task since complex sequential patterns and rich contexts are …
holders is a challenging task since complex sequential patterns and rich contexts are …
Modeling hierarchical category transition for next POI recommendation with uncertain check-ins
Most existing next POI recommendation studies rely on users' certain check-ins at individual
POIs (eg, Italian restaurant). In reality, users may leave some uncertain check-ins in the …
POIs (eg, Italian restaurant). In reality, users may leave some uncertain check-ins in the …
An attention-based spatiotemporal lstm network for next poi recommendation
Next point-of-interest (POI) recommendation, also known as a natural extension of general
POI recommendation, is recently proposed to predict user's next destination and has …
POI recommendation, is recently proposed to predict user's next destination and has …