Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation

• Published in: Data Science and Engineering Vol. 7; no. 1; pp. 44 - 56
• Main Authors: Dai, Shaojie, Yu, Yanwei, Fan, Hao, Dong, Junyu
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.03.2022; Springer; Springer Nature B.V
• Subjects: Algorithm Analysis and Problem Complexity; Artificial Intelligence; Chemistry and Earth Sciences; Computer Science; Customization; Data Mining and Knowledge Discovery; Database Management; Embedding; Learning; Location based services; Modelling; Neural networks; Physics; Recurrent neural networks; Representations; Research Papers; Social networks; Source code; Statistics for Engineering; Systems and Data Security; POI recommendation; Location-based social networks; Heterogeneous graph; Spatio-temporal neural network

Recommending a limited number of Point-of-Interests (POIs) a user will visit next has become increasingly important to both users and POI holders for Location-Based Social Networks (LBSNs). However, POI recommendation is a challenging task since complex sequential patterns and rich contexts are cont...