In recent years, neural models have been repeatedly touted to exhibit state-of-the-art
performance in recommendation. Nevertheless, multiple recent studies have revealed that …

There are various real-world applications for next-basket recommender systems. One of
them is guiding a website user who wants to buy anything toward a collection of items …

Timeliness and contextual accuracy of recommendations are increasingly important when
delivering contemporary digital marketing experiences. Conventional recommender systems …

Recommender systems have become increasingly popular for providing personalized
recommendations to users. Recent studies have shown that transformer-based approaches …

Abstract Knowledge-aware recommender systems incorporate side information to improve
recommendation performance. The authors of new algorithms are usually focused on …

The explainability of recommendations is a common research topic among researchers and
providers of recommender systems. Numerous approaches and inference types were …

There are various real-world applications for next-basket recommender systems. One of
them is guiding a website user who wants to buy anything toward a collection of items …