Title
Spiral of Silence and Its Application in Recommender Systems
Abstract
It is crucial to model missing ratings in recommender systems since user preferences learnt from only observed ratings are biased. One possible explanation for missing ratings is motivated by the spiral of silence theory. When the majority opinion is formed, a spiral process is triggered where users are more and more likely to show their ratings if they perceive that they are supported by the opin...
Year
DOI
Venue
2022
10.1109/TKDE.2020.3013973
IEEE Transactions on Knowledge and Data Engineering
Keywords
DocType
Volume
Spirals,Recommender systems,Meteorology,Computational modeling,Market research,Probabilistic logic
Journal
34
Issue
ISSN
Citations 
6
1041-4347
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Chen Lin123917.83
Dugang Liu200.34
Yanghua Xiao348254.90
Hanghang Tong43560202.37