Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6858577 | Information Systems | 2018 | 47 Pages |
Abstract
We characterize our model by considering (i) the different relevance given to local and global reputation, (ii) the threshold that is used to consider a user unreliable and (iii) the dimension of the user's ego-network. Experiments performed on a real data set show that global reputation is useful only if the size of the user ego-network is small, as in the case of a newcomer. Moreover, the combined usage of global and local reputation leads to predict the expected trust with a high level of precision.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Pasquale De Meo, Lidia Fotia, Fabrizio Messina, Domenico Rosaci, Giuseppe M.L. Sarné,