Spatial-Temporal Distance Metric Embedding for Time-Specific POI Recommendation
Spatial-Temporal Distance Metric Embedding for Time-Specific POI Recommendation is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include information retrieval, Euclidean distance, performance indicator, data mining, timestamp, similarity, exploit, popularity, Pairwise comparison, information-centric networking, embedding, recommender system, and computer science. The authors propose a spatio–temporal distance metric embedding model (ST-DME) for time–specific recommendation, which exploits both temporal and geo-sequential property of a check-in to effectively model users’ time-specific preferences.