Reliable Collaborative Filtering on Spatio-Temporal Privacy Data
Lots of multilayer information, such as the spatio-temporal privacy check-in data, is accumulated in the location-based social network (LBSN). When using the collaborative filtering algorithm for LBSN location recommendation, one of the core issues is how to improve recommendation performance by com...
Main Authors: | Zhen Liu, Huanyu Meng, Shuang Ren, Feng Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2017-01-01
|
Series: | Security and Communication Networks |
Online Access: | http://dx.doi.org/10.1155/2017/9127612 |
Similar Items
-
Spatio-Temporal Location Privacy Quantification for Vehicular Networks
by: Jian Wang, et al.
Published: (2018-01-01) -
Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts
by: Meng, Lu
Published: (2016) -
Collaborative Data-Foraging Based on Spatio-Temporal Indirect Communication
by: Fabiola Marcos Solis, et al.
Published: (2019-01-01) -
Enforcing Differential Privacy for Shared Collaborative Filtering
by: Jianqiang Li, et al.
Published: (2017-01-01) -
Data Privacy Preservation in Collaborative Filtering Based Recommender Systems
by: Wang, Xiwei
Published: (2015)