Ioannis Arapakis

A Simple Convolutional Generative Network for Next Item Recommendation

2019

Convolutional Neural Networks (CNNs) have been recently introduced in the domain of session-based next item recommendation. An ordered collection of past items the user has interacted with in a session (or sequence) are embedded into …

Self-Supervised Reinforcement Learning for Recommender Systems

2020 · arXiv (Cornell University)

In session-based or sequential recommendation, it is important to consider a number of factors like long-term user engagement, multiple types of user-item interactions such as clicks, purchases etc. The current state-of-the-art supervised approaches fail to …

Choosing the Best of Both Worlds

2022 · Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Since the inception of Recommender Systems (RS), the accuracy of the recommendations in terms of relevance has been the golden criterion for evaluating the quality of RS algorithms. However, by focusing on item relevance, one …