Suvash Sedhain

Low-Rank Linear Cold-Start Recommendation from Social Data

2017 · Proceedings of the AAAI Conference on Artificial Intelligence

The cold-start problem involves recommendation of content to new users of a system, for whom there is no historical preference information available. This proves a challenge for collaborative filtering algorithms that inherently rely on such …

AutoRec

2015

This paper proposes AutoRec, a novel autoencoder framework for collaborative filtering (CF). Empirically, AutoRec's compact and efficiently trainable model outperforms state-of-the-art CF techniques (biased matrix factorization, RBM-CF and LLORMA) on the Movielens and Netflix datasets.