|
First stage (POI preference features)
Collected POI information and user check-in records to create a POI relationship graph. Then, use DeepWalk method to create POI graph embedding
Concatenate with side information to complete the embedding
Context embedding
Temporal embedding
Spatial embedding
Second stage (Recommendation model)
Stacking multiple Self-Attention Block
Self-Attention mechanism
Two Feed-Forward Network
Residual Connection with Layer Normalization
Prediction Layer to predict Next POI
|