In this tutorial, we aim to shed light on the task of recommending a set of multiple items at
once. In this scenario, historical interaction data between users and items could also be in …

Next basket recommendation (NBR) is a special type of sequential recommendation that is
increasingly receiving attention. So far, most NBR studies have focused on optimizing the …

Item fairness of recommender systems aims to evaluate whether items receive a fair share of
exposure according to different definitions of fairness. Raj and Ekstrand study multiple …

In this paper we study the next basket recommendation problem. Recent methods use
different approaches to achieve better performance. However, many of them do not use …

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 …

This paper focuses on reproducing and extending the results of the paper:" Modeling
Personalized Item Frequency Information for Next-basket Recommendation" which …