1 citations · 3 across the 3 of their papers we have counts for
3 papers
Sequence-aware item recommendations for multiply repeated user-item interactions
Juan Pablo Equihua, Maged Ali, Henrik Nordmark +1
Recommender systems are one of the most successful applications of machine learning and data science. They are successful in a wide variety of application domains, including e-comm…
Modelling customer churn for the retail industry in a deep learning based sequential framework
Juan Pablo Equihua, Henrik Nordmark, Maged Ali +1
As retailers around the world increase efforts in developing targeted marketing campaigns for different audiences, predicting accurately which customers are most likely to churn ah…
Automatic Detection of Industry Sectors in Legal Articles Using Machine Learning Approaches
Hui Yang, Stella Hadjiantoni, Yunfei Long +2
The ability to automatically identify industry sector coverage in articles on legal developments, or any kind of news articles for that matter, can bring plentiful of benefits both…