@conference {
	title = {Semiring-Based Trust Evaluation for Information Fusion in Social Network Services},
	author = {Gao, Peixin., Baras, John S., Golbeck, Jennifer.},
	year = {2015},
	month = {07/2015},
	abstract = {As online social network services (SNS) are booming~and gaining tremendous popularity, there is a sharply increasing~amount of information exchange and interactions among SNS~users. Taking this advantage, users in SNS make decisions via~collecting and combining information from different sources~(i.e. other users). However, there exists a large variance of~trustworthiness among SNS populations, which is threatening the~quality of the information fusion process. In such circumstances,~trust relationships among users in SNS are very important in~decision making as well as for the success of many SNS-based applications, e.g. recommender systems and ad targeting. An~appropriate trust inference mechanism for trust evaluation is~necessary in extending the knowledge base of trust opinions and~tackle the issue of limited trust information due to link sparsity~in social networks. In this work, we model the trust relationship~among users in SNS as a 2-dimensional vector, and propose a semiring-based model for trust propagation and fusion as the~building block of our trust inference framework. Specifically, in~our approach, both trust and distrust (i.e., positive and negative~trust) are both considered, and opinion conflict resolution is supported by our framework of trust inference.},
	address = {Washington DC},
	booktitle = {International Conference on Information Fusion (FUSION 2015)},
	pages = {pp. 590-596}
}
