Sequential Recommendation (SR) Models

Sequential Recommendation (SR) models, developed by various researchers, predict next items using user behavior sequences, often employing attention mechanisms to capture long-range dependencies but traditionally struggling with intent understanding.

Two-hop subgraph: this entity, every entity it directly relates to, and every entity those neighbors relate to. Drag a node, scroll to zoom, click to inspect — or click any neighbor and re-center the atlas there.