Exploiting ratings and trust to resolve the data sparsity and cold start of recommender systems

• Main Author: Guo, Guibing
• Other Authors: Jie Zhang
• Format: Theses and Dissertations
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
• Online Access: https://hdl.handle.net/10356/64555
• Institution: Nanyang Technological University

Collaborative filtering (CF) is a widely used technique for recommender systems. The essential principle is that users with similar preference in the past are likely to give similar ratings on the items of interest in the future. However, collaborative filtering inherently suffers from two severe issu...