RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation

Understand

Recurrent neural networks for session-based recommendation have attracted a lot of attention recently because of their promising performance.

• repeat consumption is a common phenomenon in many recommendation scenarios (e.g., e-commerce, music, and TV program recommendations), where the same item is re-consumed repeatedly over time.
• However, no previous studies have emphasized repeat consumption with neural networks.
• An effective neural approach is needed to decide when to perform repeat recommendation.