The Application of Differential Privacy for Rank Aggregation: Privacy and Accuracy

no code implementations • 24 Sep 2014 • Shang Shang, Tiance Wang, Paul Cuff, Sanjeev Kulkarni

The potential risk of privacy leakage prevents users from sharing their honest opinions on social platforms.

Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models

no code implementations • 3 Aug 2012 • Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff

In this paper, we propose two recommendation models, for individuals and for groups respectively, based on social contagion and social influence network theory.

Collaborative Filtering Decision Making +1

A Random Walk Based Model Incorporating Social Information for Recommendations

no code implementations • 3 Aug 2012 • Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui

Collaborative filtering (CF) is one of the most popular approaches to build a recommendation system.

Collaborative Filtering Recommendation Systems