A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems

• Main Authors: Guo, Guibing, Zhang, Jie, Yorke-Smith, Neil
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: Bayesian similarity; Recommender systems
• Online Access: https://hdl.handle.net/10356/84847; http://hdl.handle.net/10220/41981
• Institution: Nanyang Technological University

User-based collaborative filtering, a widely used nearest neighbour-based recommendation technique, predicts an item’s rating by aggregating its ratings from similar users. User similarity is traditionally calculated by cosine similarity or the Pearson correlation coefficient. However, both of these...