Hypergraphs have attracted increasing attention in recent years thanks to their flexibility in
naturally modeling a broad range of systems where high-order relationships exist among …

Recommender systems (RSs) have been playing an increasingly important role for informed
consumption, services, and decision-making in the overloaded information era and digitized …

Retailers such as grocery stores or e-marketplaces often have vast selections of items for
users to choose from. Predicting a user's next purchases has gained attention recently, in …

The goal of a next basket recommendation (NBR) system is to recommend items for the next
basket for a user, based on the sequence of their prior baskets. We examine whether the …

The sequential patterns within the user interactions are pivotal for representing the user's
preference and capturing latent relationships among items. The recent advancements of …

The problem of Next Basket Recommendation (NBR) addresses the challenge of
recommending items for the next basket of a user, based on her sequence of prior baskets …

Next basket recommendation (NBR) is the task of predicting the next set of items based on a
sequence of already purchased baskets. It is a recommendation task that has been widely …

Users of online shopping platforms typically purchase multiple items at a time in the form of a
shopping basket. Personalized within-basket recommendation is the task of recommending …

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 …

Recommender systems have become an essential instrument to connect people to the items
that they need. Online grocery shopping is one scenario where this is very clear. So-called …