Trust- and Distrust-Based Recommendations for Controversial Reviews

Recommender systems that incorporate a social trust network among their users have the potential to make more personalized recommendations compared to traditional collaborative filtering systems, provided they succeed in utilizing the additional trust and distrust information to their advantage. We compare the performance of several well-known trustenhanced techniques for recommending controversial reviews from Epinions.com, and provide the first experimental study of using distrust in the recommendation process.

• Type: Journal
• Year: 2011
• Where: EXPERT
• Authors: Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
• Keywords: Collaborative filtering Systems, EXPERT 2011, Social Trust Network, Well-known Trustenhanced Techniques