2015/11/21 · We argue that by modeling the whole session, more accurate recommendations can be provided. We therefore propose an RNN-based approach for session-based ...

In this work we argue that RNNs can be applied to session-based recommendation with remarkable results, we deal with the issues that arise when modeling such ...

2019/07/25 · Bibliographic details on Session-based Recommendations with Recurrent Neural Networks.

2020/12/23 · セッションログデータを対象にしたDeep Learningベースのレコメンド手法を提案した以下の論文を読んで内容をまとめ，考察を行った．

It is argued that by modeling the whole session, more accurate recommendations can be provided by an RNN-based approach for session-based recommendations, ...

2023/08/24 · GRU4Rec is the original Theano implementation of the algorithm in Session-based Recommendations with Recurrent Neural Networks paper, published at ICLR 2016.

2023/06/26 · The goal of the project was to implement a session-based recommender system using recurrent neural networks (RNNs) on a popular retail dataset — ...

RNNs have been shown to be excellent models for sequential data and in particular for data that is generated by users in an session-based manner.

2022/12/21 · Firstly, the RNN-based approaches are classified based on the characteristics of session data (such as session length, ordering of session data, ...

2015/11/26 · RNNs have been shown to be excellent models for sequential data and in particular for data that is generated by users in an session-based manner ...