I am currently working on integrating a tf.recommender 1 model into an existing TFX 1 pipeline to provide on-service recommendations. I am quite new to both TFX and tf.recommender and am not seeing any resources on integrating the two. I want to be sure I am implementing best practices–in particular with TFT 1 and TFMA 1. Does anyone know of existing docs that may help me with this, or better yet, existing example pipelines?
Thanks!