Knowledge-aware Autoencoders for Explainable Recommender Systems-Reference-Cited by-同舟云学术

Knowledge-aware Autoencoders for Explainable Recommender Systems

Published:2018-10-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems
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Author:

Bellini Vito¹,Schiavone Angelo¹,Di Noia Tommaso¹,Ragone Azzurra,Di Sciascio Eugenio¹

Affiliation:

1. Polytechnic University of Bari, Bari - Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3270323.3270327

Reference23 articles.

1. Behnoush Abdollahi and Olfa Nasraoui. 2016. Explainable Restricted Boltzmann Machines for Collaborative Filtering. CoRR abs/1606.07129 (2016). Behnoush Abdollahi and Olfa Nasraoui. 2016. Explainable Restricted Boltzmann Machines for Collaborative Filtering. CoRR abs/1606.07129 (2016).

2. Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios

3. V. Bellini A. Schiavone T. Di Noia A. Ragone and E. Di Sciascio. 2018. Computing recommendations via a Knowledge Graph-aware Autoencoder. ArXiv e-prints (July 2018). arXiv:cs.IR/1807.05006 V. Bellini A. Schiavone T. Di Noia A. Ragone and E. Di Sciascio. 2018. Computing recommendations via a Knowledge Graph-aware Autoencoder. ArXiv e-prints (July 2018). arXiv:cs.IR/1807.05006

4. Marco de Gemmis Pasquale Lops Cataldo Musto Fedelucio Narducci and Giovanni Semeraro. 2015. Semantics-Aware Content-Based Recommender Systems. Springer US Boston MA 119--159. Marco de Gemmis Pasquale Lops Cataldo Musto Fedelucio Narducci and Giovanni Semeraro. 2015. Semantics-Aware Content-Based Recommender Systems. Springer US Boston MA 119--159.

5. Linked open data to support content-based recommender systems

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