Item Cold-Start Prediction Task
(Redirected from Item Cold-Start)
An Item Cold-Start Prediction Task is a cold-start prediction task for cold-start item.
- See: User Cold-Start.
References
2017
- (Vartak et al., 2017) ⇒ Manasi Vartak, Arvind Thiagarajan, Conrado Miranda, Jeshua Bratman, and Hugo Larochelle. (2017). “A Meta-Learning Perspective on Cold-Start Recommendations for Items.” In: Proceedings of Advances in Neural Information Processing Systems 30 (NIPS-2017).
- QUOTE: Matrix factorization (MF) is one of the most popular techniques for product recommendation, but is known to suffer from serious cold-start problems. Item cold-start problems are particularly acute in settings such as Tweet recommendation where new items arrive continuously. In this paper, we present a meta-learning strategy to address item cold-start when new items arrive continuously. …