TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations

Zijian Li, Ruichu Cai, Fengzhu Wu +4

Sequential recommendation aims to choose the most suitable items for a user at a specific timestamp given historical behaviors. Existing methods usually model the user behavior seq…