Session based recommendations using recurrent neural networks - Long short-term memory
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...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
2021
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/98062/ http://dx.doi.org/10.1007/978-3-030-73280-6_5 |
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Institution: | Universiti Teknologi Malaysia |