Enhancing homepage feed relevance by harnessing the power of large corpus sparse ID embeddings
Figure 3. The hidden gate layer, from GateNet paper All session training data Data is the key to unleashing the full potential of personalized embeddings. Our model was originally trained with impression data from a segment of sessions, with the understanding that limited impressions or samples are not sufficient to have a good representation for…