VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Preference Predictor
预测模型如下:
图片特征通过CNN进行提取,将图片特征与潜在的特征联合在一起进行推荐
###Model Learning Using BPR
The following optimization criterion is used for personalized ranking (BPR-OPT):
When using Matrix Factorization as the preference predictor (i.e., BPR-MF), is defined as:
使用SGA(stochastic gradient ascent)进行参数更新: