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:
ISSN:
Container-title:Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
language:
Short-container-title:

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

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Temporal graph learning for dynamic link prediction with text in online social networks;Machine Learning;2023-11-29

2. ClayRS: An end-to-end framework for reproducible knowledge-aware recommender systems;Information Systems;2023-10

3. Challenges for Anonymous Session-Based Recommender Systems in Indoor Environments;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

4. Knowledge-Aware Recommender Systems based on Multi-Modal Information Sources;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

5. Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS);Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14