Abstract Next Basket Recommender systems in e-commerce face challenges such as data
sparsity, evolving user preferences, and cross-domain transfer limitations. We propose the …

Next Basket Recommendation (NBR) is a new type of recommender system that predicts
combinations of items users are likely to purchase together. Existing NBR models often …

Next basket recommendation (NBR) is an essential task within the realm of recommendation
systems and is dedicated to the anticipation of user preferences in the next moment based …

Next Basket Recommendation (NBR) aims to recommend a set of products as a basket to
users based on their historical shopping behavior. In this paper, we investigate the problem …

Next basket recommendation is a challenging problem, mainly due to the relationships
among the items in a basket almost not being considered in current research. In this article …

Next-basket Recommendation (NBR) refers to the task of predicting a set of items that a user
will purchase in the next basket. However, most of existing works merely focus on the …

Sequential Cross-Domain Recommendation (CDR) has been popularly studied to utilize
different domain knowledge and users' historical behaviors for the next-item prediction. In …

The task of next basket recommendation is pivotal for recommender systems. It involves
predicting user actions, such as the next product purchase or movie selection, by exploring …

The recommendation system plays an integral role in our daily lives, from movies to medical
treatment. However, designing an efficient recommendation system is a complex task that …

Bidirectional graph modeling represents a significant emerging technology that can be
effectively integrated into sequential recommender systems. This innovation enables the …