Improving Recommender Systems Beyond the Algorithm

Understand

Recommender systems rely heavily on the predictive accuracy of the learning algorithm.

• Most work on improving accuracy has focused on the learning algorithm itself.
• We argue that this algorithmic focus is myopic.
• In particular, since learning algorithms generally improve with more and better data, we propose shaping the feedback generation process as an alternate and complementary route to improving accuracy.