… of providing time-dependent and time-aware next-basket recommendations. We made
some minor adjustments to the state-of-the-art TIFU-KNN next-basket recommender system to …

… of providing time-dependent and time-aware next-basket recommendations. We made
some minor adjustments to the state-of-the-art TIFU-KNN next-basket recommender system to …

… when both factors are time-dependent. However, existing methods … approach for time-dependent
next basket recommendation, … state-of-the-art methods for next basket recommendation. …

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 …

… on next basket recommendation and beyond-accuracy metrics. Next basket recommendation.
The … We describe the next basket recommendation problem and formalize the notions of …

… does not contain specific purchase dates, but only information on the number of days since
prior order, we propose an alternative way to still make the predictions time dependent using …

… demonstrates competitive performance in next-basket recommendation tasks. It outperformed
… investigation and potential model improvements to ensure equitable recommendations. …

… Firstly, in next basket recommendation, we denote D as the item set and Q as the user set.
A … The goal of NBR is to predict the next basket L for each user. Then, we evaluate the item …

… These types of recommender systems are also referred to as time-dependent recommender
systems [19]. Donkers et al. proposed a model that combines matrix factorization with …

… the challenge, making it difficult to provide accurate next basket recommendations. … to
improve next basket recommendations, as seen in Fig. 2. It has employed user reviews, knowledge …