Dong Wang

One Size Does Not Fit All: Adaptive Interest Representation Learning for Multi-interest Recommendation

Sequential recommendation (SR) aims to predict users’ next interactions by modeling contextual patterns in their historical behavior sequences. Recent advancements in SR introduce multi-interest models that use multiple vectors to represent users’ diverse interests. However, exis...