Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...
Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
Personalized services can cause privacy concerns, due to the acquisition, storage and application of sensitive personal information. This paper describes empirical research into th...
Evelien van de Garde-Perik, Boris E. R. de Ruyter,...
Recommender Systems (RS) suggests to users items they will like based on their past opinions. Collaborative Filtering (CF) is the most used technique to assess user similarity bet...
In this paper we give an overview of the Foafing the Music system. The system uses the Friend of a Friend (FOAF) and Rich Site Summary (RSS) vocabularies for recommending music t...