Latent representation models for user sequential mobility and social influence propagation
With the increasing popularity of online social media applications, a large amount of data has been generated by users. Based on the user generated data, many research problems have been studied, such as the location-based recommendation and social influence analysis. In this thesis, we investigate...
Saved in:
Main Author: | Feng, Shanshan |
---|---|
Other Authors: | Cong Gao |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/72689 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Latent representation models for mining geo-spatial data
by: Liu, Yiding
Published: (2020) -
Graph attention networks and approximate personalized propagation of neural prediction models for unsupervised graph representation learning
by: Bharadwaja, Tanay
Published: (2022) -
Defeating primary user emulation attacks using belief propagation in cognitive radio networks
by: Yuan, Zhou, et al.
Published: (2013) -
User Identity Linkage by Latent User Space Modelling
by: MU, Xin, et al.
Published: (2016) -
Budget-efficient viral video distribution over online social networks : mining topic-aware influential users
by: Hu, Han, et al.
Published: (2020)