Session based recommendations using recurrent neural networks - Long short-term memory

• Main Authors: Dobrovolny, Michal, Selamat, Ali, Krejcar, Ondrej
• Format: Conference or Workshop Item
• Published: 2021
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/98062/; http://dx.doi.org/10.1007/978-3-030-73280-6_5
• Institution: Universiti Teknologi Malaysia

This paper describes the use of long short-term memory (LSTM) for session-based recommendations. This paper aims to test and propose the best solution using word-level LSTM as a real-time recommendation service. Our method is for general use. Our model is composed of embedding, two LSTM layers and d...