Long-Term Preference Mining With Temporal and Spatial Fusion for Point-of-Interest Recommendation

Long-Term Preference Mining With Temporal and Spatial Fusion for Point-of-Interest Recommendation

The growth of the tourism industry has greatly boosted the Point-of-Interest (POI) recom- mendation tasks using Location-based Social Networks (LBSNs). The ever-evolving nature of user preferences poses a major problem. To address this, we propose a Long-Term Preference Mining (LTPM) approach that u...

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Bibliographic Details
Main Authors: Malika Acharya, Krishna Kumar Mohbey, Dharmendra Singh Rajput
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Attention mechanism
metric learning
orthogonal mapping
point of interest
representation learning
Online Access:https://ieeexplore.ieee.org/document/10401179/

Internet

https://ieeexplore.ieee.org/document/10401179/

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