The conversation between human and AI assistant.
What are the best methods for combining two recommendation model scores into one final score?
I'm not sure, can you explain how each method works?
Sure. Linear combination involves adding the two scores together and then multiplying them by a weight. Weighted average involves multiplying each score by a weight and then averaging the two scores. Machine learning algorithms, such as regression or neural networks, involve training a model to predict the best weight for each score based on previous data. Would you like more information on any of these methods?