Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations
Author:
Affiliation:
1. University of Bari Aldo Moro, Italy
2. University of Bari, Italy
3. Dept. of Computer Science University of Bari Aldo Moro, Italy
4. Department of Computer Science University of Bari Aldo Moro, Italy
Funder
Research for Innovation - REFIN
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3460231.3474272
Reference53 articles.
1. 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).
2. How to Make Latent Factors Interpretable by Feeding Factorization Machines with Knowledge Graphs
3. Precision-oriented evaluation of recommender systems
4. Iz Beltagy Kyle Lo and Arman Cohan. 2019. SciBERT: A pretrained language model for scientific text. arXiv preprint arXiv:1903.10676(2019). Iz Beltagy Kyle Lo and Arman Cohan. 2019. SciBERT: A pretrained language model for scientific text. arXiv preprint arXiv:1903.10676(2019).
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