The wisdom of the few: A collaborative filtering approach based on expert opinions from the web

• Main Authors: AMATRIAIN, Xavier, LATHIA, Neal, PUJOL, Josep M., KWAK, Haewoon, OLIVER, Nuria.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Recommender Systems; Collaborative Filtering; Experts; Cosine Similarity; Nearest Neighbors; Top-N Recommendations; Numerical Analysis and Scientific Computing; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/6103; https://ink.library.smu.edu.sg/context/sis_research/article/7106/viewcontent/1571941.1572033.pdf
• Institution: Singapore Management University

Nearest-neighbor collaborative filtering provides a successful means of generating recommendations for web users. However, this approach suffers from several shortcomings, including data sparsity and noise, the cold-start problem, and scalability. In this work, we present a novel method for recommen...