Paper Info
Title
BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model
Abstract
Studies on the checked-in point-of-interests have become an important means to learn user’s behavior. Nevertheless, users do not sign in to all visited locations. There are unobserved check-in locations in the generated POI trajectory. Such the trajectory is called an incomplete trajectory, and unobserved point is called missing point. However, incomplete trajectory has a negative impact on downstream tasks such as personalized recommendation system, criminal identification and next location prediction. It is a challenge to use the forward sequence and backward sequence information of the missing point to complete the missing POI. Therefore, we propose a bidirectional model based on mask and attention mechanism (BMAM) to solve the problem of missing POI completion in user’s incomplete trajectory. The context information of trajectory checked in by user can be mined to connect the missing POI with the forward sequence and backward sequence information. Therefore, the model learns the order dependence between each location according to the user trajectory sequence and obtain the user’s dynamic preference to identify the missing POI in the sequence. Besides, the attention mechanism is used to improve the user's representation feature, that is, the preference for POI categories. The experimental results demonstrate that our BMAM outperforms the state-of-the-art models for completion on missing POI of user’s incomplete sequence.
Year
DOI
Venue
2022
10.1186/s13638-022-02137-z
EURASIP Journal on Wireless Communications and Networking
Keywords
DocType
Volume
The missing POI, User behavior sequence, Attention mechanism
Journal
2022
Issue
ISSN
Citations 
1
1687-1499
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
Jun Zeng100.34
Yizhu Zhao200.34
Yang Yu348455.96
Min Gao41119.52
Wei Zhou5142.55
Junhao Wen615033.25