Knowledge Embeddings for Explainable Recommendation
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28387-1_11
Reference23 articles.
1. Samih, A., Ghadi, A., Fennan, A.: Translational-randomwalk embeddings-based recommender systems: a pragmatic survey. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol. 1418. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-90639-9_77
2. Samih, A., Ghadi, A., Fennan, A.: Deep graph embeddings in recommender systems: a survey. J. Theor. Appl. Inf. Technol. 99(15) (2022). https://doi.org/10.5281/zenodo.5353504
3. Samih, A., Ghadi, A., Fennan, A.: ExMrec2vec: explainable movie recommender system based on Word2vec. Int. J. Adv. Comp. Sci. Appl. 12(8) (2021). https://doi.org/10.14569/IJACSA.2021.0120876
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1. Health Recommender Systems;Lecture Notes in Networks and Systems;2024
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