SGT: Session-based Recommendation with GRU and Transformer
SGT: Session-based Recommendation with GRU and Transformer DOI: https://doi.org/10.30564/jcsr.v5i2.5610 Received: 30 March 2023 | Revised: 5 April 2023 | Accepted: 11 April 2023 | Published Online: 20 April 2023 Abstract Session-based recommendation aims to predict user preferences based on anonymous behavior sequences. Recent research on session-based recommendation systems has mainly focused on utilizing attention mechanisms on sequential patterns, which has achieved significant results. However, most existing studies only consider individual items in a session and do not extract information from continuous items, which can easily lead to the loss of information on item transition relationships. Therefore, this paper proposes a session-based recommendation algorithm (SGT) based on Gated Recurrent Unit (GRU) and Transformer, which captures user interests by learning continuous items in the current session and utilizes all item transitions on sessions in a more refined way. By com...