Basket Sequence

Basket sequence analysis focuses on predicting future customer purchases (next-basket recommendation) or understanding object trajectories (e.g., throwing objects into a moving basket). Current research emphasizes improving recommendation accuracy through advanced graph-based models, such as hypergraphs, and incorporating knowledge graphs to handle unseen items. These methods are being applied to diverse areas, including optimizing robotic manipulation and enhancing sports video analysis, highlighting the broad applicability of basket sequence analysis across various domains. Efficient algorithms for updating models in response to data additions or deletions are also a key focus, addressing practical concerns like data privacy and model maintenance.