Graph-Based Metric Embedding for Next POI Recommendation.
Min XieHongzhi YinFanjiang XuHao WangXiaofang ZhouPublished in: WISE (2) (2016)
Keyphrases
- user preferences
- collaborative recommendation
- spreading activation
- embedding space
- geodesic distance
- recommender systems
- recommendation systems
- collaborative filtering
- multi dimensional scaling
- graph model
- nearest neighbor searching
- association rules
- vector space
- metric space
- distance measure
- metric learning
- similarity metric
- nonlinear dimensionality reduction
- location based services
- pairwise distances
- product recommendation
- graph theoretic
- high dimensional
- dimensionality reduction
- distance function
- data embedding
- euclidean distance
- data hiding
- distance metric
- euclidean space