Hanning Zhou

Neural Autoregressive Collaborative Filtering for Implicit Feedback

2016

This paper proposes implicit CF-NADE, a neural autoregressive model for collaborative filtering tasks using implicit feedback( e.g. click/watch/browse behaviors). We first convert a user's implicit feedback into a "like" vector and a confidence vector, and …

A neural autoregressive approach to collaborative filtering

2016 · International Conference on Machine Learning

This paper proposes CF-NADE, a neural autoregressive architecture for collaborative filtering (CF) tasks, which is inspired by the Restricted Boltzmann Machine (RBM) based CF model and the Neural Autoregressive Distribution Estimator (NADE). We first describe …