The conversation between human and AI assistant.
What are the best methods for combining two recommendation model scores into one final score?
Can you explain more about how the machine learning algorithm method works?
Of course. In machine learning, the algorithm learns from previous data to predict the best weight for each score. This involves training the algorithm on a set of historical data with known scores and then applying it to new data with unknown scores. The algorithm will then predict the best weight for the new data based on the patterns it learned from the historical data. This method can be very effective, but it requires a lot of data and computational power.