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

Next basket recommendation aims to infer a set of items that a user will purchase at the next
visit by considering a sequence of baskets he/she has purchased previously. This task has …

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 …

Session-based recommendation (SBR) has received increasing attention to predict the next
item via extracting and integrating both global and local item-item relationships. However …

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 …

Food recommender systems have been developed for the online environment to support
shoppers in making informed decisions. These systems analyze the extensive data collected …

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 …

In several recommendation scenarios, including next basket recommendation, the
importance of repetition and exploration has been discovered and studied. Sequential …