Product bundling is a commonly-used marketing strategy in both offline retailers and online
e-commerce systems. Current research on bundle recommendation is limited by:(1) noisy …

Side information fusion for sequential recommendation (SR) aims to effectively leverage
various side information to enhance the performance of next-item prediction. Most state-of …

The self-attention mechanism, which equips with a strong capability of modeling long-range
dependencies, is one of the extensively used techniques in the sequential recommendation …

Sequential recommendation (SR) aims to model users' dynamic preferences from a series of
interactions. A pivotal challenge in user modeling for SR lies in the inherent variability of …

Sequential recommendation has been a hot research topic because of its practicability and
high accuracy by capturing the sequential information. As deep learning (DL) based …

Sequential recommendation methods play an irreplaceable role in recommender systems
which can capture the users' dynamic preferences from the behavior sequences. Despite …

Product bundling represents a prevalent marketing strategy in both offline stores and e-
commerce systems. Despite its widespread use, previous studies on bundle …

Transformer-based sequential recommendation (SR) has been booming in recent years,
with the self-attention mechanism as its key component. Self-attention has been widely …

Sequential recommendation captures users' dynamic preferences by modeling the
sequential information of their behaviors. However, most existing works only focus on users' …

Automatic bundle construction is a crucial prerequisite step in various bundle-aware online
services. Previous approaches are mostly designed to model the bundling strategy of …