Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism
E. Meydani, C. Düsing, M. Trier, in: Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues, 2021, pp. 72–77.
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Meydani, ElnazLibreCat;
Düsing, Christoph;
Trier, MatthiasLibreCat
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Proceedings Title
Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues
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72–77
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Meydani E, Düsing C, Trier M. Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism. In: Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues. ; 2021:72–77.
Meydani, E., Düsing, C., & Trier, M. (2021). Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism. Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues, 72–77.
@inproceedings{Meydani_Düsing_Trier_2021, title={Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism}, booktitle={Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues}, author={Meydani, Elnaz and Düsing, Christoph and Trier, Matthias}, year={2021}, pages={72–77} }
Meydani, Elnaz, Christoph Düsing, and Matthias Trier. “Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism.” In Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues, 72–77, 2021.
E. Meydani, C. Düsing, and M. Trier, “Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism,” in Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues, 2021, pp. 72–77.
Meydani, Elnaz, et al. “Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism.” Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues, 2021, pp. 72–77.
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