Automated disentangled sequential recommendation with large language models
Sequential recommendation aims to recommend the next items that a target user may have
interest in based on the user's sequence of past behaviors, which has become a hot …
interest in based on the user's sequence of past behaviors, which has become a hot …
Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation
Sequential recommendation, leveraging user-item interaction histories to provide
personalized and timely suggestions, has drawn significant research interest recently. With …
personalized and timely suggestions, has drawn significant research interest recently. With …
Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation
Sequential recommendation (SR) and multi-behavior sequential recommendation (MBSR)
both come from real-world scenarios. Compared with SR, MBSR takes into account the …
both come from real-world scenarios. Compared with SR, MBSR takes into account the …
A Survey on Sequential Recommendation
Different from most conventional recommendation problems, sequential recommendation
focuses on learning users' preferences by exploiting the internal order and dependency …
focuses on learning users' preferences by exploiting the internal order and dependency …