In this article, we exploit long- and short-term preferences for deep context-aware recommen- dations (LSCAR) to enhance the next item recommendation's performance by introducing three novel components as follows: 1) the user–contextual interaction module is proposed to capture and differentiate the interaction between ...
Oct 12, 2021 · In this article, we exploit long- and short-term preferences for deep context-aware recommendations (LSCAR) to enhance the next item ...
Aug 1, 2022 · Dive into the research topics of 'Exploiting Long- and Short-Term Preferences for Deep Context-Aware Recommendations'. Together they form a ...
In this article, we exploit long- and short-term preferences for deep context-aware recommendations (LSCAR) to enhance the next item recommendation's ...
Exploiting Long- and Short-Term Preferences for Deep Context-Aware Recommendations. Tipajin Thaipisutikul, Timothy K. Shih, Avirmed Enkhbat, Wisnu Aditya.
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Dec 21, 2022 · LSCAR or Long-and Short-Term Preferences for Deep Context-Aware Recommendations differs from existing models applying Recurrent Neural Networks ...
In this paper, we propose two novel approaches for recommendation in large shopping mall scenario. For matrix factorization approach, we construct a bias matrix ...
Mar 15, 2021 · In this article we present a context-aware recommendation method that exploits graph-based data models and Personalized PageRank to provide users with ...
Exploiting Long-and Short-Term Preferences for Deep Context-Aware Recommendations. T Thaipisutikul, TK Shih, A Enkhbat, W Aditya. IEEE Transactions on ...
A Deep Learning Based Approach for Context-Aware Multi-Criteria ...
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This paper proposes a novel approach, which relies on deep learning for context-aware multi-criteria recommender systems.