Introduction Sequential recommendation, nowadays, plays an indispensable role in numerous e-commerce applications to appropriately predict and match each user's potential needs. Conventional deep learning-based approaches [1, 2] formulates this task as learning the feature representations...

Introduction With the significant increase in the amount of available information on the internet, the demand for a reliable recommender system has grown rapidly. Among different variations, sequential recommendation typically aims at predicting the most probable next...