You are tasked with developing a model that generates clothing recommendations. Recognizing that a user's fashion preferences are likely to evolve over time, you have constructed a data pipeline that streams fresh data back to the model continuously as new information becomes available. Given this setup, what approach should you take to utilize this incoming data for training the model effectively?