Applying Trust Metrics Based on User Interactions to Recommendation in Social Networks

A. Lumbreras, R. Gavalda
2012 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining  
Recommender systems have been strongly researched within the last decade. With the arising and popularization of digital social networks a new field has been opened for social recommendations. Considering the network topology, users interactions, or estimating trust between users are some of the new strategies that recommender systems can take into account in order to adapt their techniques to these new scenarios. We introduce MarkovTrust, a way to infer trust from Twitter interactions and to
more » ... mpute trust between distant users. MarkovTrust is based on Markov chains, which makes it simple to be implemented and computationally efficient. We study the properties of this trust metric and study its application in a recommender system of tweets.
doi:10.1109/asonam.2012.200 dblp:conf/asunam/LumbrerasG12 fatcat:5pia2hxbcjemhognvvwiqbso2m