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 (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 …

E-commerce and online services are getting more and more ubiquitous day by day. Like
many other e-commerce paradigms, online grocery services can highly benefit from …

Next Basket Recommender Systems (NBRs) are designed to suggest the next shopping
basket for a user by modeling their preferences based on their purchase history, typically …

Abstract Next Basket Recommender Systems (NBRS) are session-based recommenders
that leverage a user's sequential behaviour and context to predict the next items they could …

Sequential recommendation, such as next-basket recommender systems (NBRS), which
model users' sequential behaviors and the relevant context/session, has recently attracted …

Next Basket Recommendation (NBR) that recommends a basket of items to users has
become a promising promotion artifice for online businesses. The key challenge of NBR is …

Next-basket recommendation (NBR) is a type of recommendation that aims to recommend a
set of items to users according to their historical basket sequences. Existing NBR methods …

Next-basket recommendation (NBR) is a type of recommendation task that focuses on
mining user interests based on the sequential basket records in which users purchase …

Items adopted by a user over time are indicative of the underlying preferences. We are
concerned with learning such preferences from observed sequences of adoptions for …