Mining dynamic preferences from geographical and interactive correlations for next POI recommendation
Authors:
- 22 September 2022
- journal article
- research article
- Published by Springer Nature in Knowledge and Information Systems
- Vol. 65 (1) , 183-206
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (71871019, 71871019)
This publication has 43 references indexed in Scilit:
- Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention2018
- Spatial-Aware Hierarchical Collaborative Deep Learning for POI RecommendationIEEE Transactions on Knowledge and Data Engineering, 2017
- Context-aware probabilistic matrix factorization modeling for point-of-interest recommendationNeurocomputing, 2017
- Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization2015
- Rank-GeoFM2015
- Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNsIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2014
- NLPMM: A Next Location Predictor with Markov Modeling2014
- Time-aware point-of-interest recommendation2013
- Item-based collaborative filtering recommendation algorithms2001
- Bidirectional recurrent neural networksIEEE Transactions on Signal Processing, 1997