Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations-Reference-Cited by-同舟云学术

Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations

Published:2023-06-18 Issue: Volume: Page:
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Container-title:Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
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Author:

Spillo Giuseppe,Musto Cataldo,Polignano Marco,Lops Pasquale,de Gemmis Marco,Semeraro Giovanni

Funder

PNRR project FAIR - Future AI Research (PE00000013), Spoke 6 - Symbiotic AI (CUP H97G22000210007)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3565472.3592965

Reference71 articles.

1. Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation

2. Vito Walter Anelli , Alejandro Bellogín , Antonio Ferrara , Daniele Malitesta , Felice Antonio Merra , Claudio Pomo , Francesco M. Donini , and Tommaso Di Noia . 2021. Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. CoRR abs/2103.02590 ( 2021 ). Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, and Tommaso Di Noia. 2021. Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. CoRR abs/2103.02590 (2021).

3. How to Make Latent Factors Interpretable by Feeding Factorization Machines with Knowledge Graphs

4. Semantics-Aware Autoencoder

5. Precision-oriented evaluation of recommender systems

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